John Wiley and Sons Ltd, Nov 2011, Pages: 520
of business performance.
1.1 Setting out business data.
1.2 Different kinds of variables.
1.3 The idea of a distribution.
1.4 Typical performance (the mean).
1.5 Uncertainty in performance
John Wiley and Sons Ltd, Oct 2011, Pages: 352
ANOVA and ANCOVA: A GLM Approach, 2nd Edition This new edition continues to provide a contemporary look at the nature of GLM (general linearmodel) analyses, describing how to implement such analyses
John Wiley and Sons Ltd, May 2010, Pages: 396
. Mean Response Models.
Chapter Notes.
Exercises.
6. Modeling Ordinal Association Structure.
6.1. Ordinary Loglinear Modeling.
6.2. Loglinear Model of Linear-by-Linear Association.
6.3. Row or
John Wiley and Sons Ltd, Dec 2011, Pages: 408
:
- Linear regression models, vector and matrix algebra, and random vectors and matrices
- Multivariate statistical inference, including inferences about both mean vectors and covariance matrices
- Principal
John Wiley and Sons Ltd, April 2010, Pages: 496
provide a clear introduction to the theoretical foundations and key applications of generalized linearmodels (GLMs). Maintaining the same nontechnical approach as its predecessor, this update has been
John Wiley and Sons Ltd, Dec 2011, Pages: 536
probability
- A strong focus on P-value approach to hypothesis testing familiarizes students with practical approaches to engineering problems
- Provides real engineering situations and applications as well as
John Wiley and Sons Ltd, Aug 2010, Pages: 172
Single measurement by each method.
7 A general model for method comparisons
7.1 Scaling.
7.2 Interpretation of the random effects.
7.3 Parametrization of the mean.
7.4 Prediction limits.
7.4.1 Mean
John Wiley and Sons Ltd, Jan 2010, Pages: 648
Linear Regression Model.
8.3 Fitting a Simple Linear Regression Model.
8.4 Assessing the Assumptions and Fit of a Simple Linear Regression Model.
8.4.1 Residuals.
8.4.2 Residual Diagnostics.
8.4.3
John Wiley and Sons Ltd, Jan 2010, Pages: 315
. These ideas are illustrated on common statistical models, including the multiple linear regression model, the hierarchical meanmodel, the logistic regression model, and the proportional hazards model
John Wiley and Sons Ltd, Aug 2008, Pages: 248
Effect Sizes.
12. Bayesian Meta-Analysis.
12.1 A General Bayesian Model for Meta-Analysis under Normality.
12.2 Further Examples of Bayesian Analyses.
12.3 A Unified Bayesian Approach to Meta
John Wiley and Sons Ltd, Dec 2011, Pages: 350
Factor Model 102
8.3 Models Based on Principal Component Analysis (PCA) 105
8.3.1 PCA in two dimensions 106
8.3.2 PCA in higher dimensions 112
9 The Value at Risk Concept 117
9.1 A Framework for
John Wiley and Sons Ltd, Aug 2007, Pages: 587
estimators.
A.10.4 Performance measures for linear regression.
A.10.5 Verification of the underlying assumptions.
A.10.6 Using linear regression to model nonlinear relationships.
A.11 For further reading
John Wiley and Sons Ltd, Sep 2011, Pages: 374
transformations
6.3 Models for survival-time data
6.4 Mark–recapture models
6.5 Exercises
7 Generalized linearmodels and extensions
7.1 Introduction
7.2 Specification of a GLM
7.3 Likelihood calculations
John Wiley and Sons Ltd, May 2011, Pages: 912
Decision Models.
12.1 A taxonomy of optimization models.
12.2 Building linear programming models.
12.3 A repertoire of model formulation tricks.
12.4 Building integer programming models.
12.5 Nonlinear
John Wiley and Sons Ltd, Sep 2011, Pages: 400
87
7.2 The Simplex SD as a Compositional Space 89
7.2.1 Basic Concepts and Notation 89
7.2.2 The Covariance Structure on the Simplex 90
7.3 Compositional Time Series Models 91
7.3.1 C
John Wiley and Sons Ltd, Oct 2011, Pages: 666
Recognition
1.1 Statistical Pattern Recognition
1.1.1 Introduction
1.1.2 The Basic Model
1.2 Stages in a Pattern Recognition Problem
1.3 Issues
1.4 Approaches to Statistical Pattern Recognition
John Wiley and Sons Ltd, Aug 2007, Pages: 437
for Normal Mean.
11.1 Bayes' Theorem for Normal Mean with a Discrete Prior.
11.2 Bayes' Theorem for Normal Mean with a Continuous Prior.
11.3 Choosing Your Normal Prior.
11.4 Bayesian Credible
John Wiley and Sons Ltd, March 2011, Pages: 456
data
- The basic framework for imputation, with a breakdown of key methods and models and a comparison of imputation with the weighting approach to correct for missing values
- More advanced imputation
John Wiley and Sons Ltd, April 2010, Pages: 839
Statistics: From Data to Decision, 2nd Edition Statistics teaches a modern approach that uses graphing calculators or statistical software and allows students and instructors to place more emphasis
John Wiley and Sons Ltd, Dec 2011, Pages: 240
2.2 Estimating Location
2.2.1 Estimating aMean
2.2.2 Estimating a Median
2.3 Estimating Dispersion
2.3.1 Estimating an Estimate's Standard Error
2.3.2 Estimating Interquartile Range
2.4 Linear
