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Statistical analysis : an interdisciplinary introduction to univariate & multivariate methods / Sam Kash Kachigan.

By: Kachigan, Sam Kash.
Material type: TextTextPublisher: New York : Radius Press, c1986Description: xvii, 589 p. ; 24 cm.ISBN: 0942154991; 9780942154993.Subject(s): Multivariate analysisDDC classification: 519.5 Online resources: WorldCat details
Contents:
Table of contents Part 1. Fundamental concepts: -- The nature of statistical analysis -- Objects, variables, and scales -- Part 2. Data reduction: -- Frequency distributions -- Central tendency -- Variation -- Part 3. Basic probability: -- Sampling distributions -- Parameter estimation -- Hypothesis testing -- Part 4. Association (Multivariate analysis): -- Correlation analysis -- Regression analysis -- Analysis of variance -- Analysis of category data -- Discriminant analysis -- Factor analysis -- Cluster analysis -- Multidimensional scaling -- Part 5. Selected subjects: -- Time series analysis -- Nonparametirc analysis -- Advanced probability topics -- Decision analysis.
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
Text Text EWU Library
Reserve Section
Non-fiction 519.5 KAS (Browse shelf) C-1 Not For Loan 2836
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Expanded version of the author's Multivariate statistical analysis.

Online version:
Kachigan, Sam Kash.
Statistical analysis.
New York : Radius Press, c1986
(OCoLC)564559950

Includes index.

Bibliography: p. 581-582.

Table of contents Part 1. Fundamental concepts: --
The nature of statistical analysis --
Objects, variables, and scales --
Part 2. Data reduction: --
Frequency distributions --
Central tendency --
Variation --
Part 3. Basic probability: --
Sampling distributions --
Parameter estimation --
Hypothesis testing --
Part 4. Association (Multivariate analysis): --
Correlation analysis --
Regression analysis --
Analysis of variance --
Analysis of category data --
Discriminant analysis --
Factor analysis --
Cluster analysis --
Multidimensional scaling --
Part 5. Selected subjects: --
Time series analysis --
Nonparametirc analysis --
Advanced probability topics --
Decision analysis.

Applied Statistics

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