MTU Library Catalogue

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Statistical analysis and data display : an intermediate course with examples in S-plus, R, and SAS / Richard M. Heiberger and Burt Holland.

By: Heiberger, Richard M, 1945-.
Contributor(s): Holland, Burt.
Material type: materialTypeLabelBookSeries: Springer texts in statistics.Publisher: New York : Springer, c2004Description: xxiv, 729 p. : ill. ; 24 cm. + hbk.ISBN: 0387402705 (hbk.).Subject(s): S-Plus | SAS (Computer file) | Mathematical statistics -- Data processing | Statistics -- Data processing | R (Computer program language)DDC classification: 519.50285
Contents:
Introduction and motivation -- Data and statistics -- Statistics concepts -- Graphs -- Introductory inference -- One-way analysis of variance -- Multiple comparisons -- Linear regression by least squares -- Multiple regression - More than one predictor -- Multiple regression - Dummy variables and contrasts -- Multiple regression - Regression diagnostics -- Two-way analysis of variance -- Design of experiments - Factorial designs -- Design of experiments - complex designs -- Bivariate statistics - discrete data -- Nonparametrics -- Logistic regression -- Time series analysis.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 519.50285 (Browse shelf(Opens below)) 1 Available 00099185
Total holds: 0

Enhanced descriptions from Syndetics:

This book provides a concise overview of modern statistical topics at an elementary level. Assuming an understanding of basic calculus & a previous statistical course, it will serve as a reference book for applied statisticians in many quantitative areas who are interested in stat methods

Includes bibliographical references (pages 709-719) and index.

Introduction and motivation -- Data and statistics -- Statistics concepts -- Graphs -- Introductory inference -- One-way analysis of variance -- Multiple comparisons -- Linear regression by least squares -- Multiple regression - More than one predictor -- Multiple regression - Dummy variables and contrasts -- Multiple regression - Regression diagnostics -- Two-way analysis of variance -- Design of experiments - Factorial designs -- Design of experiments - complex designs -- Bivariate statistics - discrete data -- Nonparametrics -- Logistic regression -- Time series analysis.

Table of contents provided by Syndetics

  • Introduction and Motivation
  • Data and Statistics
  • Statistics Concepts
  • Graphs
  • Introductory Inference
  • One-Way Analysis of Variance, ANOVA
  • Multiplenbsp;Comparisons
  • Linear Regression by Least Squares
  • Multiple Regression - More Than One Predictor
  • Multiple Regression - Dummy Variables and Contrasts
  • Multiple Regression - Regression Diagnostics
  • Two-Way Analysis of Variance
  • Design of Experiments - Factorial Designs
  • Design of Experiments - More Complex Designs
  • Bivariate Statistics - Discrete Data
  • Nonparametrics
  • Logistic Regression
  • Time Series Analysis