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Author: Alexander M. Mood
Publisher: McGraw-Hill Science, Engineering & Mathematics
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 608
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Book Description
Probability; Random variables, distribution functions, and expectation; Special parametric families of univariate distributions; Joint and conditional distributions, stochastic independence, more expectation; Distributions of functions of random variables; Sampling and sampling distributions; Parametric interval estimation; Tests of hypotheses; Linear models; Nonparametric method.
Author: Alexander M. Mood
Publisher: McGraw-Hill Science, Engineering & Mathematics
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 608
Get Book
Book Description
Probability; Random variables, distribution functions, and expectation; Special parametric families of univariate distributions; Joint and conditional distributions, stochastic independence, more expectation; Distributions of functions of random variables; Sampling and sampling distributions; Parametric interval estimation; Tests of hypotheses; Linear models; Nonparametric method.
Author: George Udny Yule
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 738
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Book Description
Author: Alexander MacFarlane Mood
Publisher: McGraw-Hill Publishing Company
ISBN: 9780070854659
Category : Mathematical statistics
Languages : en
Pages : 564
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Book Description
This text offers a sound and self-contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year's course in calculus, and no prior knowledge of statistics or probability is assumed. Practical examples and problems are included.
Author: Alexander M. Mood
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 474
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Book Description
Author: Harold J. Larson
Publisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 262
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Book Description
Probability; Populations and samples; Estimation; Confidence sets; Tests of hypotheses; Decision theory and bayesian methods; Linear models; Nonparametric methods.
Author: Hannelore Liero
Publisher: CRC Press
ISBN: 1466503203
Category : Mathematics
Languages : en
Pages : 280
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Book Description
Based on the authors' lecture notes, this text presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Unlike related textbooks, it combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models. Suitable for a second semester undergraduate course on statistical inference, the text offers proofs to support the mathematics and does not require any use of measure theory. It illustrates core concepts using cartoons and provides solutions to all examples and problems.
Author: George Udny Yule
Publisher: Legare Street Press
ISBN: 9781015597501
Category :
Languages : en
Pages : 0
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Book Description
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author: Paul G. Hoel
Publisher: Brooks Cole
ISBN:
Category : Mathematics
Languages : en
Pages : 252
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Book Description
Author: Alan M. Polansky
Publisher: CRC Press
ISBN: 1420076612
Category : Mathematics
Languages : en
Pages : 645
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Book Description
Helping students develop a good understanding of asymptotic theory, Introduction to Statistical Limit Theory provides a thorough yet accessible treatment of common modes of convergence and their related tools used in statistics. It also discusses how the results can be applied to several common areas in the field.The author explains as much of the
Author: Felix Abramovich
Publisher: CRC Press
ISBN: 148221184X
Category : Mathematics
Languages : en
Pages : 240
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Book Description
Designed for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, and elements of decision theory. It i
