Book Description
This is an expanded edition of the author's "Multivariate Statistical Analysis." Twice as long, it includes all the material in that edition, but has a more extensive treatment of introductory methods, especially hypothesis testing, parameter estimation, and experimental design. It also introduces time series analysis, decision analysis, and more advanced probability topics (see the accompanying table of contents). It has been used as a textbook at the graduate level at over 300 leading universities, in over a dozen academic disciplines, including education, business, and the social and health sciences. Like its abridged edition, it has been acclaimed for its lucid treatment of difficult statistical concepts.
Customer Reviews:
A truly great book!!.......2006-07-12
I read this book even after 15 years since my Ph.D. data analysis course and thank my prof. everytime. It lays out the conceptual foundations of different analyses in a really neat way.
If only it would also come with the instructions for software such as SPSS!
Yo Baby, Sammy is Da' Hoochie Daddy.......2001-11-27
I just wish he would write a new book and focus it around SPSS. Although the book was published long ago, it is written to those struggling in their Multivariate classes. It is very clear and concise. I could have read this in high school and understood every word. The book is not focused on linear algebra or higher level mathematics. Instead, he provides a clear conceptual understanding of the major techniques. If you read this much, buy the book and read it. I guarentee that in no time you will be asking your prof questions that will boggle his or her mind and you will score you some brownie points. Further, after reading it you will love the subject and study stats naked. Even if you decide not to keep this as a desk reference, you can always sell it to another student and use the cash to buy some beer. After reading this review, I only ask that you write Dr. Sam and tell him to keep writing. Tell him that we will revoke his Visa if he doesn't. I love you SAM. Peace to the world. Long live Dallas, TX! This book helped me earn an A+ in advanced stats in the MBA that I am enrolled in.
Statistical Analysis by Kachigan.......2001-02-06
This book has an excellent treatment of the various statistical methodologies. It has an easy-to-read treatment of basic probability with a gradual introduction into conditional prob. The coverage of mean, variance, weighted mean and the standard deviation is good. I was impressed with the explanation of the z statistic and hypothesis testing. The author had a good rendition of regression and correlation in single, as well as, multiple models. The style of this work is a belles lettres
treatment-almost akin to reading a story. Despite the simplicity, there is enough complexity for the quantitatively oriented readers. I would like to see an update of this book with some cross-referencing to the internet and more modern terminology. Despite the fact that it is an older work, there are few books which explain the material with the clarity of this text. Its weaknesses may be overcome by utilizing the REA Statistics or the Schaum's outline. This book is excellent for students who find math hard to comprehend. It serves all levels of students from the most advanced to the students requiring more time with the material.
Afraid of Statistics? This book is for you!.......1997-09-27
This volume is an excellent introduction for someone who needs a conceptual understanding of statistics without the rigor or depth of a specialist. The presention is very non-technical with each new subject carefully developed. Ideal for the general business or social science undergraduate or anyone needing a brief and relatively painless encounter with a vital subject.
Book Description
The last two decades have seen structural equation modeling (SEM) emerge as a powerful data analysis tool for research in the social sciences, education, and psychology. With the advent of SEM computer programs such as LISREL and EQS, SEM has become a well-established and respected methodology. This book provides an introduction to the subject suitable for beginning graduate students. Its focus is on the basic concepts and applications of SEM within the social and behavioral sciences. The author develops SEM techniques by presenting linear regression, path analysis, confirmatory factor analysis, and then more general structural equation models. In doing so, he is able both to explain clearly the underlying statistical methodology in SEM whilst at the same time illustrate the use of SEM to analyse real data sets drawn from a number of different settings in the behavioral and social sciences.
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.
Customer Reviews:
best statistical intro without lots of math.......2007-09-24
well worth every penny or cent.
clear examples on the nuts and bolts of statistical modelling.
highly recommended for the beginner to the expert to fill in the gaps in statistics.
Just the concepts, done well........2007-06-27
As a statistics software trainer, most folks that I meet are not looking for a book that explains how to use a method by hand, without the computer. Unfortunately almost all the books you will find on Multivariate Stats will be very large tomes bloated with formulas and exercises. This book in contrast is: 1) an easy read; 2) focusing on the concepts behind the technique; 3) is reasonably priced; and 4) is not a door stopper. Check out the table of contents. You will probably find the technique you need. Factor Analysis, Cluster Analysis, etc. are all represented. If you are an SPSS user, as I am, you won't find any pictures of SPSS, or step by step instructions. You will find only the theory behind the techniques, but there is more than enough great content here to warrant adding it to your library. Not only that, most step by step guides skimp on the theory, so it is best that you get one of each. Check out Norusis for good books for "step by step" in SPSS. She also does a good job at the theory, but Kachigan gets the highest grade for explaining theory.
Multivariate Statistical Analysis.......2007-05-07
I am enrolled in a Risk Management course. Without any previous statistics courses I was struggling. My professor recommended this book and it changed everything for me. I was actually able to learn and understand statistics from the beginning to multivariate analysis from this book. It made it so very plain and simple. I am now successfully going forward again. I would recommend this to anyone from beginner to Masters level who needs a reference at hand.
A good start.......2007-02-17
This small book it's a good way for experiencing in multiv. stat. analysis. It's very understandable and easy to read.
Valuable introduction to important concepts.......2006-05-30
Covers fundamental concepts and probability in the first two chapters; then proceeds to full discussions of correlation, regression, and analysis of variance, with shorter discussions of more advanced topics: discriminant analysis, factor analysis, cluster analysis, and multidimensional scaling. The emphasis is less on math and more on concepts and uses than with standard textbooks. This book made clear several concepts that I had tripped over in The Cartoon Guide to Statistics.
Book Description
Perfected over three editions and more than forty years, this field- and classroom-tested reference:
* Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures.
* Treats all the basic and important topics in multivariate statistics.
* Adds two new chapters, along with a number of new sections.
* Provides the most methodical, up-to-date information on MV statistics available.
Customer Reviews:
good book on multivariate analysis and pca.......2006-11-28
Worth to take a look! Really a good choice in my opinion.
second edition of classic multivariate text.......2001-04-19
The first edition of Ted Anderson's text on multivariate analysis was published in 1959. At the time it had no rivals. This book gives a thorough mathematical treatment of classical multivariate analysis. It is extremely well organized. Development of the multivariate normal distribution and its properties are given a thorough and rigorous treatment. The Wishart distribution is derived. Properties of the multivariate normal distribution are applied to problems of classification, principal components, canonical correlation and tests of hypotheses including the use of Hotelling's T square.
As a graduate student at Stanford, I audited Ted Anderson's multivariate analysis course, that he taught out of the first edition of the book. It wasn't until 1984 that he revised the text incorporating some new materials including the bootstrap method.
This is an advanced course for graduate students in statistics. It is the best source for a rigorous mathematical treatment of the important results from the theory of the multivariate normal distribution. However, it is not easy reading for someone who is interested in applications but does not have strong training in mathematics (particularly linear algebra). For applications and approaches when the normal theory doesn't apply, the book by Gnanadesikan is very good. There are now many good theoretical and applied texts on multivariate analysis including the text by Eaton, the one by Srivastava and Khatri, one by Rencher, one by Johnson and Wichern, and the one by Mardia, Kent and Bibby. Naik and Khattree have written a very nice applied multivariate book that demonstrates the applications using SAS software every step of the way.
There are now many subspecialties including cluster analysis, principal components, correspondence analysis, factor analysis and classification that have complete texts devoted to them.
Accessible. Comprehensive. Delicious........1998-10-02
A non-esoteric introduction into the discipline of multivariate statistical theory. Accessible with undergraduate-level mathematics while retaining much of the important "guts". It's a shame that the Wiley series is often tres expensive, as opposed to budget books like Dover.
Average customer rating:
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Introduction to the Statistical Analysis of Categorical Data
Erling B. Andersen
Manufacturer: Springer
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ASIN: 354062399X |
Book Description
This book deals with the analysis of categorical data. Statistical models, especially log-linear models for contingency tables and logistic regression, are described and applied to real life data. Special emphasis is given to the use of graphical methods. The book is intended as a text for both undergraduate and graduate courses for statisticians, applied statisticians, social scientists, economists and epidemiologists. Many examples and exercises with solutions should help the reader to understand the material.
Book Description
Approaching Multivariate Analysis provides an introduction to a range of advanced statistical techniques that are used in psychology, in an accessible, non-mathematical way. The authors take a practical approach with an emphasis on helping the reader to gain an understanding of what each method is for, what it does, and how it does it.
Topics covered in this book are:
- ANOVA, MANOVA, ANCOVA
- Multiple regression and partial correlation
- Factor analysis, cluster analysis and multidimensional scaling
- Path analysis, and mediation and moderation analysis
- Discriminant analysis, logistic regression and loglinear analysis.
Instructions on how to do the analyses and how to make sense of the results are fully illustrated with dialogue boxes and output tables from SPSS, and details of how to interpret and report the output are also provided.
This book aims to get students started, and prepares them to approach more comprehensive treatments with confidence. This makes it an ideal text for psychology students, and for students and academic staff in disciplines other than psychology that use multivariate methods.
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Introduction to Multivariate Statistical Analysis in Chemometrics
Kurt Varmuza , and
Peter Filzmoser
Manufacturer: CRC
ProductGroup: Book
Binding: Hardcover
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ASIN: 1420059475 |
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The Training House Assessment Kit
Training House
Manufacturer: HRD Press
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25 fully reproducible assessments for use in training and HR related learning and needs analysis,
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- Taking Sides: Clashing Views in Business Ethics and Society (Taking Sides: Clashing Views on Controversial Issues in Business Ethics and Society)
- The Accelerated Learning Handbook: A Creative Guide to Designing and Delivering Faster, More Effective Training Programs
- The Asian Contagion: The Causes and Consequences of a Financial Crisis
- The Case Against Free Trade: GATT, NAFTA, and the Globalization of Corporate Power (An Earth Island Press Book)
- The Complete Guide to Protecting Your Financial Security When Getting a Divorce
- The Encyclopedia of Restaurant Forms: A Complete Kit of Ready-to-use Checklists, Worksheets, And Training AIDS for a Successful Food Service Operation
- The Essence of Becker (Hoover Institute Press Publication, 426.)
- The Handbook of European Structured Financial Products (Frank J. Fabozzi Series)
- The Investor's Guide to Understanding Accounts: 10 Crunch Questions to Ask Before Investing in a Company
- The New Organizational Wealth: Managing and Measuring Knowledge-Based Assets
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