Bibliography: p. 495-499.
|Statement||[by] Frederick Mosteller, Robert E. K. Rourke [and] George B. Thomas, Jr.|
|Series||Addison-Wesley series in statistics|
|Contributions||Rourke, Robert E. K., joint author., Thomas, George Brinton, 1914- joint author.|
|LC Classifications||QA273 .M792 1970|
|The Physical Object|
|Pagination||xv, 527 p.|
|Number of Pages||527|
|LC Control Number||74087039|
This second edition of Probability With Statistical Applications offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards us is a prerequisite for understanding the basic concepts, however the book is written with a sensitivity to students’ common difficulties with calculus that does not obscure . In book: N/A, Edition: N/A, Chapter: Probability and Statistical Applications - Distributions, Publisher: N/A, Editors: N/A, pp Cite this publication Nimmagadda Venkata Nagendram. e-books in Probability & Statistics category Probability and Statistics: A Course for Physicists and Engineers by Arak M. Mathai, Hans J. Haubold - De Gruyter Open, This is an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. Introductory probability and statistical applications (Addison-Wesley series in statistics) by Meyer, Paul L and a great selection of related books, art and collectibles available now at
Genre/Form: Statistics: Additional Physical Format: Online version: Mosteller, Frederick, Probability with statistical applications. Reading, Mass. applications, and the bookattemptsto do this. Accordingly, we feelthatcomputational aspects of the subject, such as Monte Carlo, should be covered, even if a statistical. The book by Ziemer, concentrates on probability and its applications in electrical engineering, rather than on statistics. The book by Ross, takes a more rigorous approach to probability and statistics. The book by Draper and Smith, is recommended for . This book is intended as a one-semester first course in probability and statistics, requiring only a knowledge of calculus. It will be useful for students majoring in a number of disciplines:for example,biology, computer science, electrical engineer ing, .
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