Statistical Analysis: An Interdisciplinary Introduction to Univariate & Multivariate Methods | 
 enlarge | Author: Sam Kash Kachigan
Publisher: Radius Press
Category: Book
List Price: $75.00
Buy New: $57.00
You Save: $18.00 (24%)
New (14) Used (11) from $34.95
Rating:  6 reviews
Sales Rank: 81810
Media: Hardcover
Number Of Items: 1
Pages: 589
Shipping Weight (lbs): 2.1
Dimensions (in): 9.3 x 6.1 x 1
ISBN: 0942154991
Dewey Decimal Number: 519.5
EAN: 9780942154993
ASIN: 0942154991
Publication Date: January 1986
Availability: Usually ships in 1-2 business days
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Product 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.
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| Customer Reviews: Read 1 more reviews...
 Shipping prolblems. August 31, 2008
0 out of 1 found this review helpful
I can't really review this product because something went wrong with my shipping, so I didn't get the book.
 excellent book August 5, 2008
excellent book, reads very clearly explaining things that I had wondered about and been annoyed with for a very long time (as most other sources will simply try to throw things into your brain without explaining them). excellent real world examples given for many concepts, graphical depictions of concepts very enlightening too.
A truly great book!! July 11, 2006
1 out of 1 found this review helpful
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 November 27, 2001
5 out of 12 found this review helpful
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 February 6, 2001
9 out of 9 found this review helpful
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 lettrestreatment-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.
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