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A certain robustness for tests in the case of discrete distributions
-
Gerhard Welzl
and Rupert Lasser
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Chapters in this book
- I-X I
-
Section 1: Probability Theory
- Asymptotic normality of the solutions of the multidimensional Burger equation with random data 1
- Multivariate minimal moments 15
- A geometric approach to the Gaussian law 25
- Axiomatic foundations of the theory of interval-probability 47
-
Section 2: Probabilistic Expert Systems
- AKTALYST—a causal probabilistic expert system for stock market analysis 65
- Focusing and learning in possibilistic dependency networks 79
- A Bayesian approach to imprecision in belief nets 91
- Causal probabilistic networks and their application to metabolic processes 107
- Maximum likelihood estimation and learning in large systems 131
-
Section 3: Statistical Decision Theory
- An independence transformation in decision theory 145
- Set-valued decision functions and reduction of dimensionality by selection of variables 161
- Empirical Bayes two-stage procedures for selecting the best normal population compared with a control 171
- Four concepts in decision theory based on order completeness of L1 197
- Admissibility conditions for estimators of exponential type functions 205
-
Section 4: Simulation and Resampling
- Variance estimation in generalized linear models using the bootstrap 217
- Using the jackknife in the analysis of contingency tables for the estimation of the common odds ratio 227
- A certain robustness for tests in the case of discrete distributions 239
-
Section 5: Linear Models and Design of Experiments
- Estimating linear measurement error models via M-estimation 247
- Bayesian generalized errors in variables (GEIV) models for censored regressions 261
- Experimental design for linear models with higher interaction terms 281
- Missing values in regression: mixed and weighted mixed estmation 289
-
Section 9: General Methods and Applications
- The amount of information and the bound for the order of consistency for a location parameter family of densities 303
- An ordinal model for constructing a quadratic objective function of economic policy 313
- Selection of prognostic factors concerning prospective studies with censored observations: comparison of Cox-regression and CART-method 331
- Alphabetical List of Contributors 339
- Author Index 342
Chapters in this book
- I-X I
-
Section 1: Probability Theory
- Asymptotic normality of the solutions of the multidimensional Burger equation with random data 1
- Multivariate minimal moments 15
- A geometric approach to the Gaussian law 25
- Axiomatic foundations of the theory of interval-probability 47
-
Section 2: Probabilistic Expert Systems
- AKTALYST—a causal probabilistic expert system for stock market analysis 65
- Focusing and learning in possibilistic dependency networks 79
- A Bayesian approach to imprecision in belief nets 91
- Causal probabilistic networks and their application to metabolic processes 107
- Maximum likelihood estimation and learning in large systems 131
-
Section 3: Statistical Decision Theory
- An independence transformation in decision theory 145
- Set-valued decision functions and reduction of dimensionality by selection of variables 161
- Empirical Bayes two-stage procedures for selecting the best normal population compared with a control 171
- Four concepts in decision theory based on order completeness of L1 197
- Admissibility conditions for estimators of exponential type functions 205
-
Section 4: Simulation and Resampling
- Variance estimation in generalized linear models using the bootstrap 217
- Using the jackknife in the analysis of contingency tables for the estimation of the common odds ratio 227
- A certain robustness for tests in the case of discrete distributions 239
-
Section 5: Linear Models and Design of Experiments
- Estimating linear measurement error models via M-estimation 247
- Bayesian generalized errors in variables (GEIV) models for censored regressions 261
- Experimental design for linear models with higher interaction terms 281
- Missing values in regression: mixed and weighted mixed estmation 289
-
Section 9: General Methods and Applications
- The amount of information and the bound for the order of consistency for a location parameter family of densities 303
- An ordinal model for constructing a quadratic objective function of economic policy 313
- Selection of prognostic factors concerning prospective studies with censored observations: comparison of Cox-regression and CART-method 331
- Alphabetical List of Contributors 339
- Author Index 342