Language : English
Published : 2003-07-25
Pages : 752
An Introduction to Multivariate Statistical Analysis 3rd Edition
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.
About the Author
THEODORE W. ANDERSON, Professor Emeritus of Statistics and Economics at Stanford University, earned his PhD in mathematics at Princeton University. He is the author of The Statistical Analysis of Time Series, published by Wiley, as well as The New Statistical Analysis of Data and A Bibliography of Multivariate Statistical Analysis. Anderson is a member of the National Academy of Sciences and a Fellow of the Institute of Mathematical Statistics, the American Statistical Association, the Econometric Society, and the American Academy of Arts and Sciences.
Navidi/Monk, Essential Statistics was developed around three central themes – Clarity, Quality, and Accuracy. These central themes were born out of extensive market research and feedback from statistics instructors across the country. The authors paid close attention to how material is presented to students, ensuring that the content in the text is very clear, concise, and digestible. High quality exercises, examples and integration of technology are important aspects of an Introductory Statistics text. The authors have provided robust exercise sets that range in difficulty. They have also focused keen attention to ensure that examples provide clear instruction to students. Technology is integrated throughout the text, providing students examples of how to use the TI-83 Plus and TI-84 Plus Graphing Calculators, Microsoft Excel and Minitab. The accuracy of Elementary Statistics was a foundational principle always on the minds of the authors. While this certainly pertains to all aspects of the text, the authors also exhausted energy in ensuring the supplements have been developed to fit cohesively with the text.
This text covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. The authors assume one semester of differential and integral calculus as a prerequisite.
About the Author
With more than a million books in print, David D. Busch is the world’s #1 selling digital camera guide author, and the originator of popular digital photography series like David Busch’s Pro Secrets and David Busch’s Quick Snap Guides. He has written more than a dozen hugely successful guidebooks for Nikon and Nikon digital SLR models, as well as many popular books devoted to dSLRs, including Mastering Digital SLR Photography, Second Edition, and Digital SLR Pro Secrets. As a roving photojournalist for more than twenty years, he illustrated his books, magazine articles, and newspaper reports with award-winning images. He’s operated his own commercial studio, suffocated in formal dress while shooting weddings-for-hire, and shot sports for a daily newspaper and upstate New York college. His photos and articles have appeared in Popular Photography & Imaging, The Rangefinder, The Professional Photographer, and hundreds of other publications. He has also reviewed dozens of digital cameras for CNet and Computer Shopper, and his advice has been featured in National Public Radio’s “All Tech Considered.” When About.com named its top five books on Beginning Digital Photography, debuting at the #1 and #2 slots were Busch’s Digital Photography All-In-One Desk Reference for Dummies and Mastering Digital Photography. During the past year, he’s had as many as five of his books listed in the Top 20 of Amazon.com’s Digital Photography Bestseller list-simultaneously! Busch’s 120-plus other books published since 1983 include bestsellers like David Busch’s Quick Snap Guide to Digital SLR Lenses. Visit his website at http://www.dslrguides.com.
About the Author
Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences, the Advisory Editor for International Journal of Quality Technology and Quantitative Management, and an Editorial Board Member of the Journal of Bond Trading and Management. He is a Fellow of the Institute of Mathematical Statistics and a recipient of the Humboldt US Senior Scientist Award.