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Methods for Statistical Data Analysis of Multivariate Observations (Wiley series in probability & ... 2 reviews
Ram Gnanadesikan
John Wiley & Sons Inc, 1977
unique practical book on multivariate analysis
+ second edition misses a few important multivariate advances
Ram Gnanadesikan wrote the first edition of this book in 1977. It was unique then as a practical text on multivariate analysis based on his experience at Bell Labs. There is a nice mix of good theory and practice in the book. Also it is not tied to the theory of the multivariate normal distribution ...
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Multivariate Density Estimation: Theory, Practice, and Visualization (Wiley Series in Probability and ...2 reviews
David W. Scott
Wiley-Interscience, 1992
about the only practical book on the topic
+ Excellent treatment of the histogram
There are a number of good books dealing with univariate density estimates. Some are very theoretical and some are very practical. My favorite is the one by Silverman because it provides intuition for the kernel density estimation methods and gets to the key point. David Scott has produced a ...
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Modern Factor Analysis 1 review
Harry H. Harman
University Of Chicago Press, 1976
The bible of factor analysis for the mathematically literate
This is an all-time classic on the subject. Want to know about principal axes and components, minimum residuals, alpha factor analysis, canonical factors, maximum liklihood, and the multiple group and centroid methods? Then read this book. How about factor rotation? Whether you prefer your ...
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A First Course in Multivariate Statistics (Springer Texts in Statistics) 4 reviews
Bernard Flury
Springer, 1997
Excellent
+ excellent introductory book on multivariate analysis
+ Great for self instruction
This is a wonderful book. Flury goes out of his way to provide thoughtful explanations rather than just the mathematical machinery. Thankfully this is not another bland exhaustive book of multivariate methods/recipes, but has carefully chosen topics including discriminant analysis, logistic ...
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Pattern Recognition and Neural Networks 9 reviews
Brian D. Ripley
Cambridge University Press, 2008
advanced and important work
+ important and well developed approaches to pattern recognition and machine learning through neural nets.
+ not for the faint at heart, but such a pleasure to read
+ The inner workings of a neural net
+ A synthesis, not an introduction
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Latent Curve Models: A Structural Equation Perspective (Wiley Series in Probability and Statistics)2 reviews
Kenneth A. Bollen, Patrick J. Curran
Wiley-Interscience, 2005
A very good book
+ Applied research applications in behavioral medicine
This is a great contribution to the SEM area. Congratulations to the authors. Savas Papadopoulos.
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Nonparametric Methods in Multivariate Analysis (Probability & Mathematical Statistics)1 review
Madan Lal Puri, Pranab Kumar Sen
John Wiley & Sons Inc, 1971
one of a kind but somewhat difficult reading
Madan Puri along with P. K. Sen is one of the more well-known researchers in the theory of nonparametric statistics. There are not many (I don't know of any other) texts on multivariate nonparametrics. Rank methods are not uniquely extended to the multivariate setting, so the methods are ...
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Introduction to Applied Multivariate Statistics1 review
M.S. Srivastava, E.M. Carter
Elsevier, 1983
great multivariate text
This text is my favorite applied multivariate text. I like Gnandesikan for the graphics and the outlier methods using influence functions but Srivastava and Carter have written the most clear introductory text on this subject. Classification and clustering are the multivariate methods that I use ...
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Discriminant Analysis and Statistical Pattern Recognition (Wiley Series in Probability and Statistics)2 reviews
Geoffrey J. McLachlan
Wiley-Interscience, 2004
authoritative and very well-written
+ scholarly and thorough treatment of discriminant analysis
Geoff McLachlan has written a thorough and up-to-date text on discriminant analysis and pattern recognition. There are a number of fine books on discriminant analysis. McLachlan's is one of the best. It is at an intermediate level and provides many of the recent advances including regularized ...
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Introduction to Factor Analysis: What It Is and How To Do It (Quantitative Applications in the Social ... 3 reviews
Jae-On Kim, Charles W. Mueller
Sage Publications, Inc, 1978
That's all Factor Analysis is about.
This is an easy to read, gentle introduction to factor analysis. If you have struggled to find a readable resource on factor analysis then stop your search! I finished this book in an afternoon. I finally understand the basics of factor analysis. It's actually quite simple! You don't need more ...
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Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts ...
Alan Julian Izenman
Springer, 2008
Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics. These exciting developments, which led to the introduction of many innovative statistical tools for ...
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Applied Multivariate Statistical Analysis (5th Edition)24 reviews
Richard A. Johnson, Dean W. Wichern
Prentice Hall, 2001
excellent book
There have been many good theoretical texts on multivariate analysis including Anderson, Eaton and Gnandesikan. Tabachnick has written a popular applied text for the social sciences. Yet for many years this has been considered the best applied text. That is because the authors understand the theory ...
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Multivariate Observations (Wiley Series in Probability and Statistics)
George A. F. Seber
Wiley, 2004
This up-to-date, comprehensive sourcebook treats data-oriented techniques as well as classical methods. Emphasis is on principles rather than mathematical detail, and coverage ranges from the practical problems of graphically representing high dimensional data to the theoretical problems relating to matrices of random variables. Each chapter serves as a self-contained survey of a specific topic. ...
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Applied Multivariate Statistics With SAS Software, Second Edition + Multivariate Data Reduction and ...
Ravindra Khattree, Dayanand N. Naik
Wiley-Interscience, 2008
This set contains 9780471322993 Applied Multivariate Statistics with SAS? Software, 2nd Edition and 9780471323006 Multivariate Data Reduction and Discrimination with SAS? Software both by Ravindra Khattree and Dayanand N. Naik.
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Multivariate Statistical Methods: A Primer, Third Edition2 reviews
Bryan F.J. Manly
Chapman & Hall/CRC, 2004
nice and concise
+ Good balance of text, equations and references
Bryan Manly is an excellent writer who has published numerous books particularly in the area of permutation tests and resampling procedures. He provides rigor but is not overly detailed. This is the kind of text that would give you a nice overview of multivariate analysis and an appreciation for ...
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)4 reviews
Luc Devroye, Laszlo Györfi, ...
Springer, 1997
May be the best pr book from a theoretical standpoint
+ An excellent but should be rated R.
+ Where's the beef? Right here!
+ deep and comprehensive
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Confirmatory Factor Analysis: A Preface to LISREL (Quantitative Applications in the Social Sciences)
J Scott Long
Sage Publications, Inc, 1983
Demonstrates how to use confirmatory factor analysis--a model that allows researchers to specify the relationships among observed and latent variables on the basis of substantive considerations rather than mathematical convenience.
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Analysis of Multivariate Social Science Data, Second Edition (Statistics in the Social and Behavioral ...
David J. Bartholomew, Fiona Steele, ...
Chapman & Hall/CRC, 2008
Drawing on the authors’ varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data , Second Edition enables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, confirmatory factor analysis, structural equation models, ...
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Multivariate Statistical Modelling Based on Generalized Linear Models (Springer Series in Statistics)4 reviews
Ludwig Fahrmeir, Gerhard Tutz
Springer, 2001
multivariate methods using generalized linear models
+ nice theory on multivariate generalized linear models
+ Absolutely an excellent work. Don't hesitate to pay for it!
+ A quality text
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Structural Equations with Latent Variables6 reviews
Kenneth A. Bollen
Wiley-Interscience, 1989
a must in SEM
+ detailed coverage of an every growing topic in applied statistics
+ This book is close to be perfect. Respect!
+ Bollen excels at a very difficult task
+ Bollen still has what it takes
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