A Modern Introduction to Probability and Statistics : Understanding Why and How
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The work A Modern Introduction to Probability and Statistics : Understanding Why and How represents a distinct intellectual or artistic creation found in University of Manitoba Libraries. This resource is a combination of several types including: Work, Language Material, Books.
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A Modern Introduction to Probability and Statistics : Understanding Why and How
Resource Information
The work A Modern Introduction to Probability and Statistics : Understanding Why and How represents a distinct intellectual or artistic creation found in University of Manitoba Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 A Modern Introduction to Probability and Statistics : Understanding Why and How
 Title remainder
 Understanding Why and How
 Statement of responsibility
 by F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester
 Language

 eng
 eng
 Summary
 Probability and Statistics are studied by most science students, usually as a second or thirdyear course. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. The strength of this book is that it readdresses these shortcomings; by using examples, often from reallife and using real data, the authors can show how the fundamentals of probabilistic and statistical theories arise intuitively. It provides a tried and tested, selfcontained course, that can also be used for selfstudy. A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to the students. In addition the book contains over 350 exercises, half of which have answers, of which half have full solutions. A website at www.springeronline.com/1852338962 gives access to the data files used in the text, and, for instructors, the remaining solutions. The only prerequisite for the book is a first course in calculus; the text covers standard statistics and probability material, and develops beyond traditional parametric models to the Poisson process, and on to useful modern methods such as the bootstrap. This will be a key text for undergraduates in Computer Science, Physics, Mathematics, Chemistry, Biology and Business Studies who are studying a mathematical statistics course, and also for more intensive engineering statistics courses for undergraduates in all engineering subjects
 Dewey number

 519
 519.2
 http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut

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 xM4IhyktJKc
 1s2sEVEShSI
 08lEQck24Q
 Language note
 English
 LC call number

 QA273.A1274.9
 QA274274.9
 Literary form
 non fiction
 Nature of contents
 dictionaries
 Series statement
 Springer Texts in Statistics,
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