Book Description

This classic multivariate statistics book has become the introduction of choice for researchers and students with a minimal mathematics background.In addition to providing a review of fundamental statistical methods, it provides a basic treatment of advanced computer-based multivariate analytical techniques; including correlation and regression analysis, analysis of variance, discriminant analysis, factor analysis, cluster analysis, and multidimensional scaling. The conceptual treatment emphasizes the rationales, applications, and interpretations, rather than the theoretical mathematical aspects of the most commonly used data analysis techniques in use today, closing the gap between spiraling technology and its intelligent application, providing students and researchers with a decided advantage in their future studies and careers.

Its conceptual non-mathematical approach is especially helpful to students, researchers, and managers in the social and health sciences, education, and business. It is also the ideal springboard for those who will pursue advanced study of these powerful multivariate techniques. ... Read more

Reviews (14)

An intuitive introduction--not strictly mathematical.
Kachigan has successfully reduced his introduction to multivariate statistics to descriptive, if somewhat figurative, explanations of the ideas behind the subject, without constantly resorting to a formulas-only approach.Some authors make the mistake of forgetting what that key word in their title means--introduction: an explanation in terms understood by those unfamiliar with the subject.But Kachigan uses analogies and examples to explain the concepts of multivariate statistical analysis to the benefit of those who want to understand the concept before they attempt the practice. This is always the best way to learn ideas. Books that ignore the need to have a clear idea of why things are done do a disservice to those who study them. After reading Kachigan's direct and concise explanations, I wished that I had found him sooner. I intend to purchase his "Statistical Analysis: An Interdisciplinary Introduction to Univariate and Multivariate Methods" as a reference to occasionally check my own explanations of statistical methods in my research papers. My professors say that my understanding of these concepts seems to have improved. They should not be surprised--they recommended this book.

A clear, conceptual guide to statistical analysis
There are many resources for learning the "how" of doing statistical analysis. Few, however, give a good explanation of the concepts that underlie "why" things are done that way. This book explains the essential concepts that are the foundation of statistical analysis. It is written to appeal to a wide audience, regardless of area of expertise, and will give you the bases to understand statistical analysis. It's a generally easy read, and far better than any other statistics book I've ever seen. If your position requires a general overview of statistical methods, this is the top choice.

Easy to handle
Statistics can be pretty daunting and this book was hard going in the initial chapters, particularly on probability. The final chapters seem easier to understand. I think the author is right to have dealt heavily with the normal distribution. This book is a good place to begin an understanding of statistical methodology.

These days you don't really have to know too much about Stats, just something about using your favourite software and correctly interpretting the data and knowing if the tests you've used are correct. This book goes some way to help such analyses but does not have too much to say on software.

I also found the book a little too wordy at times - but it does try to summarise. More chapters and a greater breakdown could have helped.

The best thing about this book is the price and and at that price it can help you to feel cleverer/more confident than you may be at first. It may also help you understand truth a bit better.

Excellent introduction as well as review.
From this work, one can understand from a conceptual level what practical issues various multivariate methods are trying to solve and what conceptual steps are employed to solve the issues. The author did a superb job to avoid technical jargons. This book will encourage the beginners, especially who have not much training in mathematics and/or statistics, to understand the bigger picture. This book will also be very helpful for the learned hands to reflect on the motivation for the whole process.

Serious and Simple
If you need to learn or review basic statistical concepts this book will be a great help. It walks you through all the relevant material without tedious proofs or cryptic formulae. The book targets both the novice and the seasoned professional. Good for engineers, software measurement professionals, social scientists and all those who would like to learn about correlation, regression, ANOVA, discriminant analysis, factor analysis, etc. without going through heavy mathematics. ... Read more

Book Description

This concise introduction to the economic theories of taxation is intuitive yet rigorous, relating the theories both to existing tax systems and to key empirical studies. The book offers a thorough discussion of the consequences of taxes on economic decisions and equilibrium outcomes, as well as useful insights into how policy makers should design taxes. It covers issues of central policy importance, such as taxation of income from capital, environmental taxation, tax credits for low-income families, and the consumption tax.

A knowledge of microeconomics at the advanced undergraduate level is required, but the book contains an appendix with the main results from consumer and producer theory used in the text. Because the study of optimal taxation relies on the theory of optimal control, which is not often taught in economics courses, a second appendix provides the necessary background. ... Read more

Book Description

The principles and concepts of survey measurement quality

Issues of survey quality have become increasingly more prominent in recent years. As more and more professionals who are not necessarily trained as survey researchers take on tasks associated with surveys, the need arises for a grounded, basic introduction to current survey methods and quality issues associated with them.

Introduction to Survey Quality summarizes the history of survey research and outlines the essential concepts for data quality. With an emphasis on total survey error, authors Paul Biemer and Lars Lyberg review well-established, as well as recently developed principles and concepts in the field, and examine important issues that are still unresolved and being actively pursued in the current survey methods literature. Spanning a range of topics dealing with the quality of data collected through the survey process, they focus on such key issues as:

• Major sources of survey error, examining the origins of each error source and the most successful methods for reducing errors from those sources
• Methods most often used in practice for evaluating the effects of the source on total survey error
• Implications of improving survey quality for organizational management and cost

Introduction to Survey Quality is written for a broad audience that includes experienced survey researchers who would benefit from a better understanding of survey data quality as well as others with little or no prior training in survey methods. It is both a useful road map to the issues of survey measurement encountered in survey work and an essential guide to practical methods for improving the quality of survey data. ... Read more

Book Description

This book covers calculus with an emphasis on cross-discipline principles and practices. Designed to be both reader-friendly and accessible, it develops a thorough, functional understanding of mathematical concepts in preparation for their application in other areas.Each chapter concentrates on developing concepts and ideas followed immediately by developing computational skills and problem solving. Two-part coverage presents a library of elementary functions and calculus.For individuals looking for a view of mathematical ideas and processes, and an illustration of the relevance of mathematics to the real world. ... Read more

Reviews (1)

Applied calculus.......there is a method to the madness
I used this textbook in my first calculus class. The applied calculus class showed me some of the things this stuff can actually be used for. The authors and editors have combined excellent graphics, and outstanding homework problems. If you are a gluton for punishment from word problems, or if you need help at the most basic level of calculus, this is the book you'll need. ... Read more

Book Description

Using the computer to eliminate rote computation and facilitate learning, this book inspires and motivates readers to learn statistics by showing them its great practical importance in their careers.In every chapter, the authors include an ample number of examples and vignettes that illustrate and emphasize skills that enable students to interpret data effectively and to convert data into usable information.This approach enhances students' abilities to make better decisions, thus preparing them to exert greater influence in their future careers.To reinforce the idea that statistics is the linkage that transforms data into useful information, thereby enhancing planning and decision making, almost every numbered example includes introductory language that articulates the importance of the illustration in a functional area of business.The authors use Microsoft® Excel, MINITAB?, and JMP IN® statistical software to execute statistical methods--presenting computer outputs and interpretation first; then illustrating the method using statistical tables.Chapter appendices provide clear, detailed instructions on the use of Excel, MINITAB, and JMP IN. ... Read more

Reviews (1)

Statistics made easy
I always approach statistics and their applications with great trepidation, but this handbook really makes using and creating statistics easy.

The book is broken up into several kinds of statistical tests and explains the criteria needed for each test, as well as what the test can be used for.As an information professional, my need for statistics is very focused, and this book on statistics for knowledge workers weeds out extraneous information, as well as tests that are far too complicated for an amateur to interpret.

The author includes specific instructions for running statistical tests on Excel, as well as SSPS.She guides you through step by step analysis of your data, and manages to be very encouraging at the same time!

A great resource for your library. ... Read more

Book Description

If Americans buy it, you can probably find out how much they’re spending on it in the eighth edition of Household Spending: Who Spends How Much on What. Widely praised when the first edition appeared in 1991, Household Spending gives you dollar-for-dollar answers to the questions Who buys? What do they buy? How much do they spend? Based on unpublished data collected by the Bureau of Labor Statistics’ Consumer Expenditure Survey, Household Spending examines how much Americans spend on hundreds of products and services by the demographics that count – age, income, type of household, region of residence, race, and Hispanic origin. The products and services are organized into chapters on apparel, entertainment, financial, food and alcohol, gifts, health care, home improvement and utilities, household furnishings, transportation, personal care, reading, education, and tobacco. Because there is a two-year lag time between data collection and publication, the data in Household Spending are from 2001. ... Read more

Reviews (2)

must-read
This is a masterful work -- getting a little out of date now, but still well worth a read for the section on the history of IQ testing alone.

outstanding expansive work
A must-read for all people in school psychology, intelligence testing, or education. ... Read more

Book Description

‘The scholarly discipline, ultra long-term historical perspective, and topical diversity of Robert Prechters discerning At the Crest of the Tidal Wave will challenge all serious investors to re-examine todays "buy and hold" mantra. - Henry Van der Eb, Chairman, Mathers Fund

‘At the Crest of the Tidal Wave is a brilliant and important piece of long wave research with potentially devastating investment implications for the future. - Paul Tudor Jones II, President, Tudor Investment Corp

‘Recently I finished reading for the third time Charles Mackays classic, Extraordinary Popular Delusions and the Madness of Crowds, first published in 1841. Not much has changed, and here we are at yet another turning point in history… At the Crest of the Tidal Wave probably will join Mackays famous book as one of the most prescient of the past 175 years. - Charles Allmon, President, Growth Stock Outlook

‘The icy logic and stunning originality with which Prechter predicts the impending death of our Grand Bull Market make At the Crest of the Tidal Wave eminently worthy of attention. But the fact that years ago this same author stood virtually alone in prophesying the birth of this very same bull market renders his current vision absolutely indispensable to serious investors. - Paul Macrae Montgomery, Legg Mason Wood Walker

‘Robert Prechter and R.N. Elliott will be remembered as the two greatest social scientists of this century for their understanding of mass psychology, markets and the economy. - Donald Evans, President, FX500 Money Management

‘There is an old Arab proverb which says that "When you go shopping for wisdom, visit every tent in the bazaar." When Robert Prechter published his first book in 1978 predicting the super bull market of the 1980s, only a very few people visited his tent. I hope more people visit his tent today, in order to understand the financial, economic and social implications of At the Crest of the Tidal Wave. - Marc Faber, Faber Ltd, Hong Kong Finance/Investment ... Read more

Reviews (10)

A must-have roadmap for the years to come.
Welcome to Dow 10,000. So, what's next? Skies the limit, right? Do you know what it means when everyone you know is in the stock market? Have you ever wondered why only the big name stocks have been soaring like rockets for years, while those of most small and medium size companies have languished? Would it surprise you to know that the 15 year rise in bonds has not been a bull market at all, but a BEAR MARKET RALLY? How far must the price of gold fall before it finally reaches "rock bottom"? And finally, what do you think your home will be worth ten years from now? Read this book and you will have an excellent guide to all these questions. Robert Prechter has seen it all. He entered the financial world in the early 1970's, just in time to witness the last true bear market in U.S. stocks. He forecasted the 1982 breakout of the Dow Jones Industrials four years before it occurred. His prediction was widely considered impossible and out of touch with the realities of late 1970's. And importantly, he then predicted that it would blossom into the full blown mania we are seeing today. As the world's foremost practitioner of the Elliott Wave Principle, Mr. Prechter has the long range view required to see just where we are in the "big picture". And although we've been patiently waiting since this book was written (1995), all the pieces are slowly, but surely, falling into place. I've read nearly fifty books on financial markets, many of them considered classics, and I can honestly say that this is one of only two books you'll ever need to own on the subject. The other is "Elliott Wave Principle", by Frost & Prechter.

Must Read
This book is a must read for financial survival. Prechter has an engaging writing style. His opinions are often outrageous and sometimes too extreme. This value of this book is in that it is so different from the conventional financial press.

Almost alone Prechter predicted the great bull market back in 1979. He then called the top prematurely but at least he did warn this readers that a top was coming. The scope of Prechter's vision is awesome. He has charts with trendlines going back to 1700 with projections for the next century.

Chapter 11 "Manifestations of Investor Psychology" is very powerful.

Don't Wait for the Noise
There was a movie which showed an approaching tidal wave. There was no noise because the wave was travelling faster than the speed of sound. This is the case of the oncoming financial tidal wave of disaster. One can hear the bullish rantings of a stream of advisors, nudging us into a sleeping wonderment of good things to come. The tidal wave is on its way. Prechter has pointed out the various items unfolding before our eyes. He was early in many of the prognostications, but they are surely falling into place. If you read the book, you will surely see how they are unfolding. Your financial health is at stake. The tech wreck was only the beginning. Read on, there is still time, but the book will be out of date in a couple of years.

Contrarian Bells Are Ringing
Having read this book, as well as Ravi Batra's "Crash of the Millenium" and James Dale Davidson's "The Sovereign Individual", I can't help but point out that these are the same people that were telling us to expect a U.S.economic/financial market collapse throughout the '90s(see: "Blood in the Streets" and "The Great Reckoning" by Davidson/Rees-Mogg, "The Great Depression of 1990" by Batra, and Prechter's newsletters/special reports from that period). Obviously, they turned out to be just a tad off the mark. After a peruse of this material, have a look at one of Harry Dent's books for a look at the baby boom spending wave that continues through the latter half of this decade (Dent points out on his website that the current economic dip we are in is similar to the one that took place between 1920-1922, before the Roaring 20's market took off). The only way that the kind of boom the Spending Wave projects can ever take place would be if the majority are looking in the wrong direction. Material such as this book from Prechter, as well as Batra and Davidson, will do very nicely.

You need to read this book!
You need to read this book. It may change the way you think. I am not saying that I believe that Prechter's prediction will definitely come to pass, but after reading this book, I am convinced that it is a real possibility, and everyone needs to consider this possibility. ... Read more

Book Description

Crucial to business success, numerical methods are often viewed as too complex to understand, much less use. They are, in fact, far less complicated, able to be broken down into step-by-step instructions and processed by basic computing devices. This invaluable resource from the publishers of The Economist, the leading international business journal, simplifies and demystifies the numbers game, illustrating just how straightforward—and relatively easy—it really is.

Taking you clearly and concisely through numerous fundamental functions, both elementary and advanced, The Economist Numbers Guide arms you with the tools necessary to not only approach numbers with more confidence, but solve financial problems more easily, analyze information more accurately, and make decisions more effectively.

Covering finance and investment, forecasting techniques, hypothesis testing, linear programming, and a host of other important topics, it shows you how to handle everything from figuring interest and quantifying risk to projecting inflation and evaluating investment opportunities.

In addition to the basic mechanics of numerical techniques, the Guide takes a look at their practical applications, including their role in stock control, simulation, and project management. To help you sidestep potentially costly mistakes, it also highlights common errors to avoid, such as rounding incorrectly and bypassing time series selection.

Along with sample calculations, concise definitions, and clear explanations, as well as more than 100 charts, graphs, and tables, The Economist Numbers Guide features an A-to-Z dictionary that encompasses key terms—from autocorrelation to zero sum game—and provides useful reference material on such essentials as conversion factors and formulae for calculating areas and volumes.

In-depth and easy-to-use, this is an indispensable reference for business and numbers success.

From the publishers of the renowned international business journal, The Economist Numbers Guide helps you grasp key numerical methods, as well as apply them simply and effectively. Taking you step by step through a host of fundamental functions, from basic techniques to advanced concepts, it brings together all the information you need to use numerics in making better decisions, analyzing data, maximizing business potential, and a host of other important areas. Packed with sample calculations, clear explanations, and numerous charts and graphs, this invaluable resource covers:

• Key concepts—fractions, proportions, index numbers, probability
• Finance and investment—interest, annuities, inflation, exchange rates
• Forecasting techniques—time series, trends, cycles, residuals
• Linear programming and networking—optimal solutions, traps and tricks, multiple objectives
• Practical applications—game strategy, Markov chains, queuing, simulation
• And much, much more!

Reviews (3)

From Great to Good
I have read cover-to-cover a previous edition of this book (when it was published by Wiley in 1998) and recently had an opportunity to carefully peruse this current edition (5th ed. by Bloomberg Press???). What I found is that this is a strange case of how a great book (the 1998 edition) turned into merely a good book (this 5th edition). Because of this regression toward the average, I deducted one star from my review (but still feel that it is good enough for 4 stars).

As you may have noticed, I really loved the older edition of The Economist Numbers Guide that I thankfully own. It is a great overview and introduction of mathematics as it relates to business. There are a lot of great things about that edition of this book. One of the things I admired about it was the range of topics covered, from interest rates and basic probability/statistics all the way up to Markov Chains, linear programming, and marginal analysis. It is hard to find the breadth of topics covered in that book elsewhere - whether all in one book or in any combination of books.

So I found it perplexing that this 5th edition dedacted some materials and topics covered in older editions. Gone are the interesting discussion of descriptive statistics for sets of data that do not easily conform to any of the standard probability distributions (e.g., where median is the best measure of the 'average' and substitutes must be used for the more common parameters such as standard deviation). I have a hard time finding anything coherent much less accessible on those topics elsewhere so it is a shame that they were left off of the 5th edition.

The only new material (not previously present) is a short blurb on public-key cryptography. While that topic is interesting to me and the limited discussion was illuminating and mathematically sound, it seemed a rather quixotic choice to put in when some interesting materials in previous editions were left off and new material that would have been more useful to the targeted audience have yet to be added.

What I mean by useful material that have yet to be added is that both the 1998 edition and this edition don't have some materials that I would think naturally ought to be added. E.g., the section on finance & investment mathematics is mostly devoted to various discussions on interest rate/time value of money & basic probability. I think adding material on CAPM (although CAPM Beta is defined in the book's very helpful glossary section), option/derivative pricing, financial portfolio optimization, and other topics in financial mathematics/engineering would make a great and natural addition to this book.

Some problems common to both the prior and current edition of this book are the occassional (relatively rare) typos. They are usually minor (although they are most annoyingly frequent in the section on time value of money / interest rates).

Another flaw in both the older and newer editions is that there are gaps in the expository material that don't make much sense. To be fair, this book is designed to be a brief intro/overview into a wide swathe of topics so it wouldn't be reasonable to expect that the author go into great detail on every topic. However, there are instances - e.g., the example on mixed strategies in game theory - where one or two additional sentences would help novices to understand (e.g., how did you get the the mixed strategy probabilities? author should have added a couple of more lines about how the system of equations are interrelated with one another when determining mixed strategies).

Having said all of that, let me reiterate that BOTH the old and the new edition of The Economist Numbers Guide is a wonderful resource for people interested in business mathematics. The sections on decision-making and forecasting are especially of value since they are so wonderfully explained here and a comparable set of explanations are hard to find elsewhere.

In future editions, I just hope that the author heeds my advice about bringing back some topics in older editions, correcting a few errors & lapses, and adding some material that would fit in with what has otherwise been an excellent series of books.

Excellent index of business math
This book provides concise and clear definitions of business analytics with practical applications. Excellent for the neophyte in business math. Helpful index and glossary to get started. Good guide to use if learning stats or marketing research.

A good start
For a novice in economics, not an easy field to be a novice in, this was a helpful book. It got me started, by which I mean I wasn't completely lost when I read it. ... Read more

Reviews (1)

Improving Performance Through Statistical Thinking
This book is truly unique! It focuses on the conceptual understanding of statistical thinking - not on numbers and calculations. I am recommending this book to all the employees in our quality department because it provides the framework for quality improvement - something all quality professionals need before attempting to use any statistical methods to measure improvement. I recommend this book to any quality professional who needs a down-to-earth explanation of how statistical thinking can improve an organization's quality program. ... Read more

Book Description

Concisely written and up-to-date, this book provides a unified and comprehensive analysis of the full range of topics that comprise modern time series econometrics. While it does demand a good quantitative grounding, it does not require a high mathematical rigor or a deep knowledge of economics. One of the book's most attractive features is the close attention it pays throughout to economic models and phenomena. The authors provide a sound analysis of the statistical origins of topics such as seasonal adjustment, causality, exogeneity, cointegration, prediction, and forecasting. Their treatment of Box-Jenkins models and the Kalman filter represents a synthesis of the most recent theoretical and applied work in these areas. ... Read more

Reviews (4)

Some topics in time series
the book's goal are nested test, ARIMA models, and the book developos the clasical basic theory of seasonality and Kalman Filter but the book needs Intermediate mathematics and advanced statistics, the book is good as reference in topics of econometrics but if you needs learn time series the Hamilton's book is a good idea.

Don't Buy It
This is a crap book. Don't buy it. I have 3 books by this author, all published by CUP, and I swear I will never and ever buy his fourth book. This is the worst book I've every read. There are several common weak points of his books -- confusing symbols, lack of explanations on those necessary issues and lengthy B.S. on those simple issues. Numerous typing errors make the matter worse. This book spend a chapter talking about old fashion of moving averages, such as Spencer 7-point and 15-point. It almost goes into the field of graduation. What's the point? The chapters on ARIMA are also rubbish. My feeling is that the author lacks sense in statistics, all he saw are just mathematics. On the whole, this book is just on the wrong field, at the wrong time and with the wrong title.

Not a book for economists; particularly hard to understand
When you study an econometrics PhD. In France, you can't avoid reading books of Gourieroux: it's the national hero of econometrics. In fact, when you discover all the research he has done, you have to admit it's a brilliant person. But his books aren't particularly clear. They are made for mathematicians (the only students in my classroom that appreciate this book aren't economists; the rest of us, simple mortals, use more friendly books, such as Davidson and Mackinnon, Greene, Enders and Hamilton). What can I say? It's a very complete book: seasonality is deeply treated, ARIMA models are studied profoundly and, you can even find a spectral analysis chapter and another of the Kalman filter. But they are pretty hard to understand. The notation is complex, more than necessary. There are lots of equations and little explanations. If you are a mathematician, this book will satisfy your needs; it's rigorous and fairly complete (even if the selection of topics it's not the ideal one, I think); if you are not, you should better go to Hamilton's manual. If what you want is a cookbook of time series, then buy Enders.

excellent reference book
This book is a graduate level introduction to time series econometrics. By introduction I mean that it covers a large amount of material, from stationary ARMA models to cointegration, without going too deep into details, although it requires strong mathematical and statistical background. The aim of this book was to be a source of references for applied researches and a textbook for graduate level courses. So in this respect it's similar to Hamilton's "Time Series Analysis". I think that as a textbook Hamilton's book works better, because the derivation of many results in it is more detailed. On the other hand, Gourieroux and Monfort treatment of many topics is more advanced. Gourieroux and Monfort provide much more information, for example, on uses of frequency domain. They also included a chapter on fractional processes. ... Read more

Book Description

Categorical data arise often in many fields, including biometrics, economics, management, manufacturing, marketing, psychology, and sociology. This book provides an introduction to the analysis of such data. The coverage is broad, using the loglinear Poisson regression model and logistic binomial regression models as the primary engines for methodology. Topics covered include count regression models, such as Poisson, negative binomial, zero-inflated, and zero-truncated models; loglinear models for two-dimensional and multidimensional contingency tables, including for square tables and tables with ordered categories; and regression models for two-category (binary) and multiple-category target variables, such as logistic and proportional odds models. All methods are illustrated with analyses of real data examples, many from recent subject area journal articles. These analyses are highlighted in the text, and are more detailed than is typical, providing discussion of the context and background of the problem, model checking, and scientific implications. More than 200 exercises are provided, many also based on recent subject area literature. Data sets and computer code are available at a web site devoted to the text. Adopters of this book may request a solutions manual from: textbooks@springer-ny.com.Jeffrey S. Simonoff is Professor of Statistics at New York University. He is author of Smoothing Methods in Statistics and coauthor of A Casebook for a First Course in Statistics and Data Analysis, as well as numerous articles in scholarly journals. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, and an Elected Member of the International Statistical Institute. ... Read more

Book Description

Statistics are a critical component of business and marketing plans, press releases, surveys, economic analyses, presentations, proposals, and more-yet good statistics are notoriously hard to find. This practical guide shows researchers how to tap the Internet for statistics about companies, markets, and industries; how to organize and present statistics; and how to evaluate them for reliability. Organized by topic and by country/region, this helpful reference shows Internet researchers how to zero in on desired information and to evaluate statistics found on the web. Also included are dozens of extended and short case studies describing the ins and outs of searching for specific numbers and maneuvering around obstacles to locating data. ... Read more

Reviews (2)

Business Statistics on the Web: Find Them Fast-At Little or
Berinstein, co-founder of a software company specializing in 3D character animation products, shows how to use the Internet to find statistics about companies, markets, and industries; how to organize and present statistics; and how to evaluate them for reliability. The book will be useful for business and market researchers, financial analysts, sales and marketing professionals, and students. Berinstein has written several other books on finding and using statistics.

Evaluating, organizing, and presenting statistics
Business Statistics On The Web: Find Them Fast - At Little Or No Cost by Paula Berinstein (Co-Founder and Executive Vice President of Product Strategy of Paula Hollywood, Inc., a software company specializing in 3D character animation products) is a straightforward search guide to extracting the needed financial information from the Internet with a minimum of wasted time and computer search related hassle. Real-world examples; a wealth of practical and experienced based tips, tricks, and techniques for evaluating, organizing, and presenting statistics; as well as invaluable insights from the author's extensive personal and professional experience as a researcher and entrepreneur, make Business Statistics On The Web a "must-have" which is especially recommended reading for the technologically challenged Internet-based data gatherer. ... Read more

Book Description

An introduction to the theory of biologial conservation, including a wealth of applications to the fishery and forestry industries. The mathematical modeling of the productive aspects of renewable-resource management is explained, including both economic and biological factors, with much attention paid to the optimal use of resource stocks over time. The Second Edition includes new chapters on the theory of resource regulation and on stochastic resource models, new sections on irreversible investment, game-theoretic models, dynamic programming, and an expanded bibliography. ... Read more