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Mathematica Laboratories for Mathematical Statistics

Mathematica Laboratories for Mathematical Statistics
Author: Jenny A. Baglivo
Publisher: SIAM
Total Pages: 273
Release: 2005-01-01
Genre: Mathematics
ISBN: 0898718414

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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.


Mathematica Laboratories for Mathematical Statistics with CD-ROM

Mathematica Laboratories for Mathematical Statistics with CD-ROM
Author: Jenny A. Baglivo
Publisher: Society for Industrial and Applied Mathematics
Total Pages: 184
Release: 2004-11-01
Genre: Mathematics
ISBN: 9780898715668

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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. Included in the book are parametric, nonparametric, permutation, bootstrap and diagnostic methods. Permutation and bootstrap methods are discussed side by side with classical methods in the later chapters. Includes a CD-ROM with 238 laboratory problems written as Mathematica notebooks.


Statistics with Mathematica

Statistics with Mathematica
Author: Martha L. Abell
Publisher: Academic Press
Total Pages: 654
Release: 1999
Genre: Computers
ISBN: 9780120415540

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Covers the use of Mathematica for applications ranging from descriptive statistics, through multiple regression and nonparametric methods; uses virtually all of Mathematica's built-in statistical commands, as well as those contained in various Mathematica packages; Additionally, the authors have written numerous procedures to extend Mathematica's capabilities, which are also included on the CD-ROM


Mathematical Statistics and Data Analysis

Mathematical Statistics and Data Analysis
Author: John A. Rice
Publisher: Duxbury Resource Center
Total Pages: 680
Release: 1995
Genre: Mathematics
ISBN:

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Re-examines the purpose of the math statistics course. The approach of the text, interweaving traditional topics with data analysis, reflects the use of the computer and is closely tied to the practice of statistics.


Mathematical Statistics

Mathematical Statistics
Author: A A Borokov
Publisher: CRC Press
Total Pages: 620
Release: 1999-01-27
Genre: Mathematics
ISBN: 9789056990183

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A wide-ranging, extensive overview of modern mathematical statistics, this work reflects the current state of the field while being succinct and easy to grasp. The mathematical presentation is coherent and rigorous throughout. The author presents classical results and methods that form the basis of modern statistics, and examines the foundations of estimation theory, hypothesis testing theory and statistical game theory. He then considers statistical problems for two or more samples, and those in which observations are taken from different distributions. Methods of finding optimal and asymptotically optimal statistical procedures are given, along with treatments of homogeneity testing, regression, variance analysis and pattern recognition. The author also posits a number of methodological improvements that simplify proofs, and brings together a number of new results which have never before been published in a single monograph.


Introduction to Mathematical Statistics

Introduction to Mathematical Statistics
Author: Paul G. Hoel
Publisher: New York : J. Wiley ; London : Chapman & Hall
Total Pages: 448
Release: 1966
Genre: Mathematics
ISBN:

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A balanced presentation of both theoretical and applied material with numerous problem sets to illustrate important concepts. Demonstrates the use of computers and calculators to facilitate problem solving, as well as numerous applications to illustrate basic theory.


Selected Tables in Mathematical Statistics

Selected Tables in Mathematical Statistics
Author: Harman Leon Harter
Publisher: American Mathematical Soc.
Total Pages: 400
Release: 1974
Genre: Mathematics
ISBN: 9780821819029

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AMSTAT News

AMSTAT News
Author: American Statistical Association
Publisher:
Total Pages: 536
Release: 2009
Genre: Statistics
ISBN:

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