Applied Linear Regression (Wiley Series in Probability and Statistics) Review

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(More customer reviews)Weisberg's book is a good introduction/overview of the principal techniques used in linear models. However, in many situations, he leaves out many details and derivations and either directs the reader to the references or says nothing. I would have liked it if he had put in a few more mathematical derivations and had been more thorough in the discussion about collinearity and variable selection.

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Master linear regression techniques with a new edition of a classic text
Reviews of the Second Edition:
"I found it enjoyable reading and so full of interesting material that even the well-informed reader will probably find something new . . . a necessity for all of those who do linear regression."—Technometrics, February 1987
"Overall, I feel that the book is a valuable addition to the now considerable list of texts on applied linear regression. It should be a strong contender as the leading text for a first serious course in regression analysis."—American Scientist, May–June 1987
Applied Linear Regression, Third Edition has been thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, the Third Edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results.
The Third Edition incorporates new material reflecting the latest advances, including:
Use of smoothers to summarize a scatterplot
Box-Cox and graphical methods for selecting transformations
Use of the delta method for inference about complex combinations of parameters
Computationally intensive methods and simulation, including the bootstrap method
Expanded chapters on nonlinear and logistic regression
Completely revised chapters on multiple regression, diagnostics, and generalizations of regression

Readers will also find helpful pedagogical tools and learning aids, including:
More than 100 exercises, most based on interesting real-world data
Web primers demonstrating how to use standard statistical packages, including R, S-Plus®, SPSS®, SAS®, and JMP®, to work all the examples and exercises in the text
A free online library for R and S-Plus that makes the methods discussed in the book easy to use

With its focus on graphical methods and analysis, coupled with many practical examples and exercises, this is an excellent textbook for upper-level undergraduates and graduate students, who will quickly learn how to use linear regression analysis techniques to solve and gain insight into real-life problems.

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Statistics and Finance: An Introduction Review

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(More customer reviews)This book is an ambitious and unique combination of stat and finance - and because of the very close relationship of the two areas, this book is excellent and useful for 1) statisticians who want to learn financial modeling; and 2) financial analysts who need to understand the underlying stat concepts at a relatively advanced level. It is generally well-written and the author provides clear explanation on many finance theories.

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This textbook emphasizes the applications of statistics and probability to finance.Students are assumed to have had a prior course in statistics, but no background in finance or economics.The basics of probability and statistics are reviewed and more advanced topics in statistics, such as regression, ARMA and GARCH models, the bootstrap, and nonparametric regression using splines, are introduced as needed.The classical methods of finance such as portfolio theory, CAPM, and the Black-Scholes formula are covered, and there is an introduction to the somewhat newer area of behavioral finance.Applications and use of MATLAB and SAS software are stressed.The book course serve as a text in courses aimed at advanced undergraduates and masters students in statistics, engineering, and applied mathematics as well as quantitatively oriented MBA students.It could also be used for self-study by those in the finance industry wishing to know more statistics.

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Statistics Alive Review

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(More customer reviews)The book is great for beginners - easy to read and understand. The flaw? No answers for the extensive amount of practice problems. Clearly, if I were math inclined I wouldn't need this remedial sort of book. It would be helpful to check my answers instead of accepting my possible wrong answers and continuing through the book. The workbook (is purchased separately) has answers only to the odd problems which is a pet peeve of mine-especially when the questions include "short answer" items on divergent topics. I understand this is to make sure that the work is being done without peeking, but wouldn't an in-class test identify peekers while the rest of us could be sure we are on the right track?

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Based on years of first-hand teaching experience, Wendy J. Steinberg has created Statistics Alive!, the most user-friendly statistics text for students in the social and behavioral sciences, now in its Second Edition. This textbook includes topics such as frequency distributions, hypothesis formation, and inferential statistics and bivariate regression. Effect size and power, often shortchanged in other textbooks, each get substantive treatment. Students are well prepared for a next course in statistics.



Key Features

Modular treatment allows students to master prescribed chunks of information.
Strong pedagogy throughout includes learning objectives, key terms, and “Check Yourself!" questions.




New to the Second Edition


Twice as many chapter exercises.
Final module on multiple regression and the General Linear Model.
SPSS point-and-click instructions and screen shots of the output for all in-text examples.
Descriptive dispersion solutions shown using both N and n-1 denominators, to accommodate any instructor’s preference.
A more comprehensive Student Study Guide and Instructor Resource Guide.



A version bound with SPSS Student Version 18.0 is available for only $25 extra! (ISBN: 978-1-4129-7951-1)

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Biostatistics, Student Solutions Manual: A Foundation for Analysis in the Health Sciences (Wiley Series in Probability and Statistics) Review

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(More customer reviews)Daniel obviously knows his statistics; but, I wouldnt think that is too helpful for individuals reading or studying from his textbook.
The reasons are numerous, and all these reasons would reduce anyone's chances of solely using this book, or even using it at all.
The textbook is well organized, however Daniel's writing often is pedantic, repetitive (not in the helpful way) and ambiguous at best.
The examples and solutions occassionaly have serious errors in them which affect the overall outcome of the test (A second consideration is that the book is in it's 8th edition!!! therefore such errors are unacceptable for a person such as myself).
An example can be found on page 239 (example 7.3.2). The pooled variance, as calculated by Daniel is approximately off by 100 simply because he didnt give attention to dividing the numerator with the proper pooled D.F of the samples. The chapter ironically was on hypothesis tests, something extremely important to any line of empirically oriented statistics.
In Chapter 8; which is probably the most important chapter in Bistatistics (ANOVAs) he does not mention the relationship between MSW and sample SD. Also, his usage of Summation in formulas often are unnecessarily overcomplicated. Such is not even seen in professional journals.
I did like this textbook regardless of its many shortcomings, its not because I liked the author's style of writing. Its more or less the fact that my lecturer (I assume) used this book heavily in his lectures and so I used it as a supplementary text.
I would suggest, Chap T. Le's Introductory Biostatistics. However he goes too much into nonparametric methods and proportions and doesnt cocentration (to the degree I wanted) on continous data.
More robust and probably cost effect books are :Introductory Statistics for the Life Sciences by Samuels. But the Best book I have ever seen on the subject is "Introductory Biostatistics for the health sciences" By Chernick and Friis. The book is well priced and no portion of this book, I have seen as being useless.

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Allied health professionals rely on Biostatistics for its high standards of statistical accuracy. It helps them develop a set of statistical tools that are relevant to their field. Now in its ninth edition, the book integrates new applications from several biological science fields throughout the pages. Each chapter now opens with bulleted objectives that highlight the main ideas. Summary boxes of formulae and statistical rules are presented for easy reference and review. Support is also provided for multiple programs such as SPSS, SAS, and STATA, in addition to Minitab. This includes screen captures and technology boxes with step-by-step help. Health professionals will then gain the ability to use technology to analyze data.

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Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide Review

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(More customer reviews)This book is really useful and handy. It is very well written and easy to read. As the name stated, it provides very practical guides for those who don't have strong background in Statistics but are dealing with longitudinal data. It is written in an example guided format. The outputs from the analysis and guidelines on how to interpret them step by step are included. There is no heavy Statistical notation and you don't need to translate Statistics into English. At the end of the book, there are chapters of how to handle missing data and softwares used in longitudinal data analysis. This book is probably too boring if you are a hardcore Statistician.

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The most important techniques available for longitudinal data analysis are discussed in this book. The discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalized estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continuous, dichotomous, and categorical outcome variables. This practical guide is especially suitable for non-statisticians and all those undertaking medical research or epidemiological studies.

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Multilevel Analysis for Applied Research: It's Just Regression (Methodology In The Social Sciences) Review

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(More customer reviews)A good book. Very good examples. I missed some reference to the mathematical derivations of the econometric techniques being used. Also, it would be nice that the data sets were available online.

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This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual-level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical techniques they already know, Robert Bickel emphasizes the parallels with more familiar regression models, shows how to do multilevel modeling using SPSS, and demonstrates how to interpret the results. He discusses the strengths and limitations of multilevel analysis and explains specific circumstances in which it offers (or does not offer) methodological advantages over more traditional techniques. Over 300 dataset examples from research on educational achievement, income attainment, voting behavior, and other timely issues are presented in numbered procedural steps. Note: Complete datasets, and other useful information, are available at www.itsjustregression.net.

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Reciprocal Teaching at Work: Powerful Strategies and Lessons for Improving Reading Comprehension, 2nd Edition Review

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(More customer reviews)I am in New Zealand so it costs to get a book posted to here, so I think twice, before I buy. I have been reading through it and am well pleased with the purchase. I have dabbled in reciprocal reading and have used Jill Eggleton's Connectors which are very good. However this book provides me with the support that I need to run reciprocal reading in a variety of contexts. It is explicit and provides me with the information that I need to go ahead in 2011. I teach Year 6 - 8, thats about Grade 5 - 7 in the U.S. I think. However any teacher from early grades up would benefit from this book.

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In this much anticipated, revised, and expanded edition of her bestseller Reciprocal Teaching at Work, Lori Oczkus continues to provide solutions for teaching comprehension. By focusing on four evidence-based and classroom-tested strategies that good readers use to comprehend text-predicting, questioning, clarifying, and summarizing-Lori shows you new ways to use reciprocal teaching to improve students comprehension while actively engaging them in learning and encouraging independence.
This second edition is jam-packed with fresh material including
* A new chapter on getting started with reciprocal teaching * Dozens of creative, exciting lessons and tips for using reciprocal teaching in whole-class settings, guided reading groups, and literature circles * Ideas for differentiating instruction for struggling readers and English language learners * Expanded suggestions for grades K5 and all new ideas for grades 612 * Practical ways to use reciprocal teaching as a Response to Intervention (RTI) * Support materials such as reproducibles, posters, and a lesson planning menu * A free online professional development guide and free online classroom video clips
With 35 lessons and a wealth of materials to get you started-and keep you going-this is the all-inclusive resource you need to lead your students to become active, engaged, and independent readers who truly comprehend what they read.
The International Reading Association is the world's premier organization of literacy professionals. Our titles promote reading by providing professional development to continuously advance the quality of literacy instruction and research.
Research-based, classroom-tested, and peer-reviewed, IRA titles are among the highest quality tools that help literacy professionals do their jobs better.
Some of the many areas we publish in include:
-Comprehension-Response To Intervention/Struggling Readers-Early Literacy -Adolescent Literacy-Assessment-Literacy Coaching-Research And Policy

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