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Summary: Outstanding, intuitive introduction to applied statistics
Review: Although now somewhat dated, this book remains the best general introduction to research-grade statistics for the nonspecialist. Kachigan has a special gift for giving intuitive motivations for difficult techniques. If supplemented by a good problem set, it provides the best available general survey for most MBA-level students, and should be readily accessible to undergraduates. It would be really nice if it were brought up to date to accommodate tree-based methods, local regression, bootstrap, and several other "modern", computer-intensive techniques. Even so, it's my choice for my MBA class.
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Summary: You'll see the forest.
Review: Excellent! It makes sense out of myriads of mathematical endeavors without being entangled with them. It gives one an introduction of what s/he is about to embark. It gives one an overview of what s/he has managed to learn. It shows one the forest not the trees.
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Summary: Easy to handle
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.
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Summary: Multivariate Statistical Analysus
Review: Having spent the last couple of months trying in vain to find a book on Multivariate Analysis which doesn't assume a degree in mathematics. This book is absolutely wonderful! No assumptions are made, other than simple mathematical knowledge, thus making it a must for those researchers and scientists simply looking for some techniques for visualising high-dimensional data. A thoroughly worthwhile book and cheap at half the price!
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Summary: An Ideal Entry-Level Statistics Book
Review: I am very disappointed that the title of this book is very misleading. Although the book is very clear in presenting theory and materials, there is lack of much materials if anyone who wants to have a guide on the multivariate statistics.
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Summary: Not enough
Review: I am very disappointed that the title of this book is very misleading. Although the book is very clear in presenting theory and materials, there is lack of much materials if anyone who wants to have a guide on the multivariate statistics.
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Summary: Yo Baby, Sammy is Da' Hoochie Daddy
Review: 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.
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Summary: A book full of great examples and illustrative figures.
Review: I liked this book for the excellent examples and figures that the author has given with the explanation. I liked this book so much that I am ordering the other (more advance) book by this author. It think it is a great idea to write a "conceptual introduction" book (such as this) on a subject and accompany it with a more advance book on the same subject. Kachigan has done just that.
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Summary: Clear and Concise
Review: I've gotta echo all the other rave reviews for this fine book. It's wonderfully clear and concise, with the best explanations of statistical concepts I've seen. Its only fault (as a textbook) is a lack of exercises & answers. But you can remedy this lack by going to a used bookstore and picking up a cheap old copy of any good elementary stats textbook (I recommend either Freedman & Purvis or John Freund for this purpose). Kudos, Kash, for a splendidly lucid (and inexpensive) introduction to a tough subject. You've saved me and hundreds of other students from confusion, frustration, and poor grades. Write on!
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Summary: Serious and Simple
Review: 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.
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