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You searched IISERK - Subject: Smoothing (Statistics)
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Call Number
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519.5/01/13
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Author
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Baglivo, Jenny A. (Jenny Antoinette)
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Title
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Mathematica laboratories for mathematical statistics [electronic resource] : emphasizing simulation and computer intensive methods / Jenny A. Baglivo.
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Publication
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Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2005.
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Material Info.
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1 electronic text (xx, 260 p.) : ill., digital file.
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Series
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ASA-SIAM series on statistics and applied probability ; 14
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Series
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ASA-SIAM series on statistics and applied probability ; 14.
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Summary Note
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Integrating computers into mathematical statistics courses allows students to simulate experiments and visualize their results, handle larger data sets, analyze data more quickly, and compare the results of classical methods of data analysis with those using alternative techniques. This text presents a concise introduction to the concepts of probability theory and mathematical statistics. The accompanying in-class and take-home computer laboratory activities reinforce the techniques introduced in the text and are accessible to students with little or no experience with Mathematica. These laboratory materials present applications in a variety of real-world settings, with data from epidemiology, environmental sciences, medicine, social sciences, physical sciences, manufacturing, engineering, marketing, and sports. Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods includes parametric, nonparametric, permutation, bootstrap and diagnostic methods. Chapters on permutation and bootstrap techniques follow the formal inference chapters and precede the chapters on intermediate-level topics. Permutation and bootstrap methods are discussed side by side with classical methods in the later chapters.
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Notes
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Includes bibliographical references (p. 241-249) and index.
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Notes
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Preface -- Chapter 1: Introductory Probability Concepts -- Chapter 2: Discrete Probability Distributions -- Chapter 3: Continuous Probability Distributions -- Chapter 4: Mathematical Expectation -- Chapter 5: Limit Theorems -- Chapter 6: Transition to Statistics -- Chapter 7: Estimation Theory -- Chapter 8: Hypothesis Testing Theory -- Chapter 9: Order Statistics and Quantiles -- Chapter 10: Two Sample Analysis -- Chapter 11: Permutation Analysis -- Chapter 12: Bootstrap Analysis -- Chapter 13: Multiple Sample Analysis -- Chapter 14: Linear Least Squares Analysis -- Chapter 15: Contingency Table Analysis -- Bibliography -- Index.
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ISBN
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9780898718416 (electronic bk.)
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Subject
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Mathematica (Computer file)
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Subject
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Mathematical statistics Computer simulation.
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Subject
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Mathematical statistics
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Subject
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Computer laboratories
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Subject
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Mathematica language
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Subject
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Simulation
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Subject
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Computer intensive methods
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Subject
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Likelihood methods
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Subject
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Parametric and nonparametric methods
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Subject
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Permutation methods
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Subject
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Bootstrap methods
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Subject
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Diagnostic methods
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Added Entry
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Society for Industrial and Applied Mathematics.
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Date
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Year, Month, Day:01405141
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Link
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SIAM
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