25 Stupid Mistakes You Don't Want to Make in the Stock Market

Book Description

Everyone would like to get rich quick. Scams abound and the stock market can make or break the bank. However, there is a fortune to be made provided investors have a good game plan. Written by investment expert David Rye, this book shows investors how to avoid the common mistakes and pitfalls of investing in today's stock market. Serious and first time investors alike will benefit from the wealth of advice contained in these pages.

The author provides step-by-step strategies readers can follow on a consistent basis to achieve maximum returns. Readers will learn how to set solid financial goals, draw up an investment plan and find success in the stock market.

Packed with valuable insights on principle and practices, explanations of buzzwords and as well as definitions of investment terms, 25 Stupid Mistakes You Don't Want to Make in the Stock Market is essential reading for anyone investing in the stock market.

Customer Reviews:

This Book is Outstanding.......2002-01-28

Thanks Dave Rye for writing a book about the stock market that the average person can understand. After reading your book, I now not only know how to avoid making stupid mistakes when investing in stocks, but how to take advantage of the market and make MONEY.

Book Description

Master Class: Lessons from Leading Writers gathers more than two decades of wisdom from twenty-nine accomplished authors. It offers previously unpublished interviews along with freshly edited versions of ten interviews from Nancy Bunge's well-received previous collection, Finding the Words. The first section, Theory, incorporates interviews which document the golden age of writing programs in which authors with a strong sense of social and cultural responsibility taught as seriously as they wrote. These conversations delve into the writers' philosophies and teaching methods. The second section, Practice, presents interviews with authors who discuss how they've approached the writing of particular works. Altogether the interviews introduce authors as inspirational models and provide insightful techniques for other writers to try. One piece of advice recurs with striking consistency: to produce fresh, interesting work, aspiring writers must develop a passionate self-trust. This rule has an essential corollary: improving as a writer means constantly stretching oneself with new information and skills. Sure to interest writing and literature teachers as well as writers at every stage of development, Master Class is highly recommended for undergraduate and graduate writing courses

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Leading: Lessons from Literature
Sampat Pal Singh
Manufacturer: Response Publishing
ProductGroup: Book
Binding: Paperback

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ASIN: 0761997539

Book Description

Describes a range of mycotoxins occurring as contaminants in agricultural crops and animal products, and details the implementation of food safety regulations via governmental and international agencies. The book charts the progress made in mycotoxicology since the early 1990s. It also profiles recent advances in mycotoxin analysis methods.

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Mycotoxins in Feedstuff
Martin Weidenbörner
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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Accessories:

ASIN: 0387464115

Product Description

Feedstuff is any of the constituent nutrients of an animal ration. The plants used in feed, such as grains, oils seeds, and nuts root crops, are susceptible to mycotoxin contamination.

Mycotoxins in Feedstuffs provides an overview of mycotoxins in feedstuff and ingredients. It discusses whether a feedstuff ingredient is predisposed for a mycotoxin contamination and lists the degree of contamination, the concentration of the toxins and the country of origin and/or detection of the contaminated food.

Manual on the Application of the HACCP System in Mycotoxin Prevention And Control (Fao Food and Nutruiton)

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Manual on the Application of the HACCP System in Mycotoxin Prevention And Control (Fao Food and Nutruiton)
Food and Agriculture Organization
Manufacturer: Bernan Assoc
ProductGroup: Book
Binding: Paperback

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ASIN: 9251046115

Book Description

The latest edition of this best-selling biostatistics book is both comprehensive and easy to read. It provides a broad and practical overview of the statistical analysis methods used by researchers to collect, summarize, analyze, and draw conclusions from biological research data. The Fourth Edition can serve as either an introduction to the discipline for beginning students or a comprehensive procedural reference for today's practitioners.

Customer Reviews:

Not for beginners.......2007-03-16

I own this book, which I purchased for a graduate-level statistics class. This book does include virtually everything you'd need as a biological statistician, but I have found most of it totally unaccessible. It's far too verbose which makes it difficult to plow through and I feel it's mostly obsolete since it makes no reference to computer software. Since statistics is now a field based almost exclusively on computer programs, a book based entirely on doing statistics by hand is not helpful! I'd say, save your $100 and look elsewhere (like the literature and an SPSS manual).

More useful than other beginner's texts but..........2006-07-17

As someone who recently retired from analyzing ecological data after a decade of it, I found this book to be pretty good one-stop shopping. I wouldn't say it's an introduction to stats so much as it is a systematic compilation of all the "traditional" statistical topics (t-tests, regressions, etc). As such, it contained some useful formulas that do not occur in regular "Stats 101" texts, such as sample size estimators for various analyses.

However, there are two things it is missing. As mentioned by other reviewers, there's no coverage (in the edition I have, anyway) of iterative techniques like bootstrapping, Monte Carlo approaches, etc. Those are coming up a lot in everyday statistical work these days.

More important is something missing from nearly EVERY beginning statistics text (and, often, from college education), which is the place of statistical testing in scientific logic. Too many beginners with statistics get stuck on fishing for significant differences in a stale old dataset rather than really thinking about their subject matter. In the absence of context, statistical "significance" can be deceptive and meaningless. One place to start on this subject is with Murphy & Myor's really good book called Statistical Power Analysis. I learned a ton from that book, which is a good companion for nearly any regular stats text. Happy crunching..

The mediumýs viewpoint.......2004-07-22

I had been teacher of Statistic by several years in some universities of Mexico and the Zar book had been a common company in my classroom all the years. Certainly it is not to begginers, but it is very usefull to proffesors. It usually have answer to assess uncommon series data, as non-normal data, or missing data. The book work almost all the time with data series that have normal distributions, and use non-parametric statistical tools to work with other series distributions. There are other books that deal with it best, considering, by example, tests to data with Poisson or binomial distributions (the common in the biological sciences). However, to undergraduate students, and some graduate students, the Zar "normal" approach work fine. Graduate research or doctoral research is done better not with other book in hand but with other statistical approach in mind, and unfortunately there is not only book to do it. Well, in that case, the Zar book help to understand some of the main points to make high statistical analysis.

The beginner's viewpoint.......2004-06-03

Frankly, I am aghast that the publisher calls this book accessible and appropriate for beginners. I purchased it as the required text for an introductory biometry class, and it has contributed very little to my understanding of biostatistical analysis. After chapter 7 (at best), it is simply incomprehensible. The mathematical notation requires far more than a high school algebra background, and the wording is extremely terse. Yes, it does offer real-world examples, and yes, it does offer a large range of statistical tables, and I am sure that it is good reference for people who are already working as statisticians and who have advanced degrees in statistics. However, it is misleading to call Zar a good introductory text - it is completely inappropriate for beginners. It is too concise in a situation where more words would be useful. Sokal and Rohlf 2nd ed. is far better; Fowler et al. also proved helpful.

A Great Desk Reference for Biologists.......2004-02-10

I have found this book more approachable and user friendly than Sokal and Rohlf. Zar is an excellent desk reference, and has solved a number of statistical problems for me. I reccomend it to anybody who regularly uses statistics in a biological context.

Average customer rating:

Interesting and difficult book

Biostatistical Methods in Epidemiology
Stephen C. Newman , and Newman
Manufacturer: Wiley-Interscience
ProductGroup: Book
Binding: Hardcover

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ASIN: 0471369144

Book Description

An introduction to classical biostatistical methods in epidemiology

Biostatistical Methods in Epidemiology provides an introduction to a wide range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. The text includes an extensive discussion of measurement issues in epidemiology, especially confounding. Maximum likelihood, Mantel-Haenszel, and weighted least squares methods are presented for the analysis of closed cohort and case-control data. Kaplan-Meier and Poisson methods are described for the analysis of censored survival data. A justification for using odds ratio methods in case-control studies is provided. Standardization of rates is discussed and the construction of ordinary, multiple decrement and cause-deleted life tables is outlined. Sample size formulas are given for a range of epidemiologic study designs. The text ends with a brief overview of logistic and Cox regression. Other highlights include:

Many worked examples based on actual data
Discussion of exact methods
Recommendations for preferred methods
Extensive appendices and references

Biostatistical Methods in Epidemiology provides an excellent introduction to the subject for students, while also serving as a comprehensive reference for epidemiologists and other health professionals.
For more information, visit www.wiley.com/mathematics

Download Description

An introduction to classical biostatistical methods in epidemiology
Biostatistical Methods in Epidemiology provides an introduction to a wide range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. The text includes an extensive discussion of measurement issues in epidemiology, especially confounding. Maximum likelihood, Mantel-Haenszel, and weighted least squares methods are presented for the analysis of closed cohort and case-control data. Kaplan-Meier and Poisson methods are described for the analysis of censored survival data. A justification for using odds ratio methods in case-control studies is provided. Standardization of rates is discussed and the construction of ordinary, multiple decrement and cause-deleted life tables is outlined. Sample size formulas are given for a range of epidemiologic study designs. The text ends with a brief overview of logistic and Cox regression. Other highlights include:
* Many worked examples based on actual data
* Discussion of exact methods
* Recommendations for preferred methods
* Extensive appendices and references
Biostatistical Methods in Epidemiology provides an excellent introduction to the subject for students, while also serving as a comprehensive reference for epidemiologists and other health professionals.
For more information, visit www.wiley.com/mathematics

Customer Reviews:

Interesting and difficult book.......2005-01-09

This was a difficult book for me to read and review and I think it would be tough to write as well. Biostatistics is taught generally devoid of its epidemiological context but this book tries to break a new ground and tries to show use of biostatistics in derivations of epidemiology measures. This makes the book theoritical which is what I was looking for. It succesfully breaks a new ground in some places particularly on on confounding where author summarizes recent literature neatly. However, other chapters require knowledge of Maximum Likelihood (ML) methods which are covered in an intermediate biostatistic texts like Larsen and Marx. This book is interesting because its the only book which I have found which covers the ML methods for odds ratio but this is the only book which covers them. Disappointingly, the author skips derivations and reaches straight to the results which is frustating. Since this is textbook for advanced students and author assumes knowledge of ML methods, eschewing details and derivations is sad.

Time Series: A Biostatistical Introduction (Oxford Statistical Science Series, No. 5)

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well written text on time series and longitudinal data

Time Series: A Biostatistical Introduction (Oxford Statistical Science Series, No. 5)
Peter, J. Diggle
Manufacturer: Oxford University Press(UK)
ProductGroup: Book
Binding: Paperback

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ASIN: 0198522266

Book Description

Time series analysis is one of several branches of statistics whose practical importance has increased with the availability of powerful computing tools. Methodology originally developed for specialized applications, for example in business forecasting or geophysical signal processing, is now widely available in general statistical packages. These computing developments have helped to bring the subject closer to the mainstream of applied statistics. This book is an introductory account of time-series analysis, written from the perspective of an applied statistician with a particular interest in biological applications. Separate chapters cover exploratory methods, the theory of stationary random processes, spectral analysis, repeated measurements, ARIMA modelling, forecasting, and bivariate time-series analysis. Throughout, analyses of data-sets drawn from the biological and medical sciences are integrated with the methodological development. The book is unique in its emphasis on biological and medical applications of time-series analysis. Nevertheless, its methodological content is more widely applicable, and it should be useful to both students and practitioners of applied statistics, whatever their specialization.

Customer Reviews:

well written text on time series and longitudinal data.......2000-12-16

Diggle covers most of the standard approaches to time series analysis in both the time and frequency domains. The first two chapters provide a gentle introduction with the important theory covered in Chapters 3 and 4. What makes it different is the treatment of repeated measures data which comes up in clinical trials and other forms of medical research. The data are time series since they are collected over time. However in engineering and the physical sciences, it is common to deal with the analysis of a single but long time series. In the medical field the time series is often a series of repeated measurements on a patient taken over a short amount of time. Typically, the series may consist of only 3 to 5 time points. However inference is still possible because there are many patients being studied under similar conditions. So whereas in the engineering applications we only have a partial (although long) realization of a single time series in biomedical applications we have many partial (short) realizations of many time series. Some of the methods of analysis are therefore different. The approach to repeated measures is given in Chapter 5 which is authoritative and useful but does not do justice to the subject. Fortunately Diggle, Zeger and Liang have written an entire book on longitudinal analysis that came out in 1994, four years after this book. Other good books have also been written subsequently.

The latter chapters deal with case studies, model fitting and diagnostic checking and an interesting chapter on bivariate time series analysis.

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Biostatistical Analysis
Jerrold H. Zar
Manufacturer: Prentice Hall
ProductGroup: Book
Binding: Hardcover
ASIN: B000OHWFMK

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Biostatistical Analysis
Jerrold H. Zar
Manufacturer: Prentice Hall College Div
ProductGroup: Book
Binding: Paperback
ASIN: B000OI7P9W

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Biostatistical Analysis
Jerrold H. Zar
Manufacturer: Prentice Hall
ProductGroup: Book
Binding: Paperback
ASIN: B000OHYRW6

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Biostatistical aspects of risk-benefit: The use of competing risks analysis
H. N Sather
Manufacturer: School of Engineering and Applied Science, University of California
ProductGroup: Book
Binding: Unknown Binding

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ASIN: B0006XJYJE

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