Mathematical Statistics with Applications
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By:"Kandethody M. Ramachandran","Chris P. Tsokos"
"Mathematics"
Published on 2009-03-13 by Academic Press
conducting a statistical test with confidence interval, 409–410 testing on \u003cbr\u003e\ncomputer-generated samples, 408–409 for ... 724 Independent variable definition \u003cbr\u003e\nof, 467 example for, 469 in regression analysis, 412 Inferential \u003cb\u003estatistics definition\u003c/b\u003e \u003cbr\u003e\nof, ...
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Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical computational and simulation concepts that are not covered in other textbooks. Includes the Jackknife, Bootstrap methods, the EM algorithms and Markov chain Monte Carlo methods. Prior probability or statistics knowledge is not required. * Step-by-step procedure to solve real problems, making the topic more accessible * Exercises blend theory and modern applications * Practical, real-world chapter projects * Provides an optional section in each chapter on using Minitab, SPSS and SAS commands * Student Solutions Manual, Instructors Manual and data disk available
This Book was ranked 6 by Google Books for keyword statistics definition.
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