MTU Cork Library Catalogue

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Mathematical statistics with Mathematica / Colin Rose and Murray D. Smith.

By: Rose, Colin.
Contributor(s): Smith, Murray D.
Material type: materialTypeLabelBookSeries: Springer texts in statistics.Publisher: New York : Springer, 2002Description: xiii, 481 p. : ill. ; 26 cm. +.ISBN: 0387952349.Subject(s): Mathematica (Computer file) | Mathematical statistics -- Data processingDDC classification: 519.50285
Contents:
Introduction -- Continuous random variables -- Discrete random variables -- Distributions of functions of random variables -- Systems of distributions -- Multivariate distributions -- Moments of sampling distributions -- Asymptotic theory -- Statistical decision theory -- Unbiased parameter estimation -- Principles of maximum likelihood estimation -- Maximum likelihood estimation in practice.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 519.50285 (Browse shelf(Opens below)) 1 Available 00092315
Total holds: 0

Enhanced descriptions from Syndetics:

This text and software package presents a unified approach for doing mathematical statistics with Mathematica. The mathStatica software empowers the student with the ability to solve difficult problems. The professional statistician should be able to tackle tricky multivariate distributions, generating functions, inversion theorems, symbolic maximum likelihood estimation, unbiased estimation, and the checking and correcting of textbook formulae. This is the ideal companion for researchers and students in statistics, econometrics, engineering, physics, psychometrics, economics, finance, biometrics, and the social sciences. The mathStatica CD-ROM includes: mathStatica - the applications pack for mathematical statistics, custom Mathematica palettes, live interactive book that is identical to the printed text, online help, and a trial version of Mathematica 4.0.

Includes bibliographical references (pages 463-468) and index.

Introduction -- Continuous random variables -- Discrete random variables -- Distributions of functions of random variables -- Systems of distributions -- Multivariate distributions -- Moments of sampling distributions -- Asymptotic theory -- Statistical decision theory -- Unbiased parameter estimation -- Principles of maximum likelihood estimation -- Maximum likelihood estimation in practice.

Table of contents provided by Syndetics

  • Introduction
  • Continuous Random Variables
  • Discrete Random Variables
  • Distributions of Functions of Random Variables
  • Systems of Distributions
  • Multivariate Distributions
  • Moments of Sampling Distributions
  • Asymptotic Theory
  • Statistical Decision Theory
  • Unbiased Parameter Estimation
  • Principles of Maximum Likelihood Estimation
  • Maximum Likelihood Estimation in Practice

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