Analyzing experimental data by regression / David M. Allen, Foster B. Cady.

By: Allen, David MContributor(s): Cady, Foster B, 1931-Publisher: Belmont, Calif. : Lifetime Learning Publications, c1982Description: xvi, 394 p. : ill. ; 24 cmISBN: 0534979637 :Subject(s): Experimental design | Regression analysisDDC classification: 519.536,ALL
Contents:
Strategy of Data Analysis (Page-2), Data Link Between Research Objectives and Analysis (Page-8), Model Formulation and Inferences (Page-16), Fitting the Mean Model (Page-30), Fitting a Straight Line Model (Page-38), Analysis of Variance (Page-49), Computations for Multivariable Models (Page-56), Coping with Model Violations (Page-68), Case Study Dose Dependent Blood Pressure Data (Page-80), Interpreting Regression Coefficients in Two Variable Models (Page-90), Data Reduction by Regressions (Page-104), Generalizing Beyond the Data (Page-120), Comparison of Candidate Models (Page-134), Case Study Land Evaluation Data (Page-150), Analysis of Sample Means (Page-162), Model Selections with Many Explanatory Variables (Page-246), Coping with Large Standard Error and Unrealistic Estimates (Page-260), Split Experimental Units and Repeated Measures (Page-276), Nonlinear Models (Page-297), A Regression Program for Microcomputers (Page-310).
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Item type Current location Home library Shelving location Call number URL Status Notes Date due Barcode Item holds
Book Book Military College of Signals (MCS)
Military College of Signals (MCS)
General Stacks 519.536,ALL (Browse shelf) Link to resource Available Almirah no.14, Shelf no.6 MCS7157
Total holds: 0

Strategy of Data Analysis (Page-2), Data Link Between Research Objectives and Analysis (Page-8), Model Formulation and Inferences (Page-16), Fitting the Mean Model (Page-30), Fitting a Straight Line Model (Page-38), Analysis of Variance (Page-49), Computations for Multivariable Models (Page-56), Coping with Model Violations (Page-68), Case Study Dose Dependent Blood Pressure Data (Page-80), Interpreting Regression Coefficients in Two Variable Models (Page-90), Data Reduction by Regressions (Page-104), Generalizing Beyond the Data (Page-120), Comparison of Candidate Models (Page-134), Case Study Land Evaluation Data (Page-150), Analysis of Sample Means (Page-162), Model Selections with Many Explanatory Variables (Page-246), Coping with Large Standard Error and Unrealistic Estimates (Page-260), Split Experimental Units and Repeated Measures (Page-276), Nonlinear Models (Page-297), A Regression Program for Microcomputers (Page-310).

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