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Probability and Statistical Inference
For one- or two-semester courses in Probability, Probability & Statistics, or Mathematical Statistics. An authoritative introduction to an in-demand field Advances in computing …
Introduction to Probability and Statistical Inference
An Introduction to Probability and Statistical Inference, Second Edition, guides you through probability models and statistical methods and helps you to think critically about …
Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science
In May of 1973 we organized an international research colloquium on foundations of probability, statistics, and statistical theories of science at the University of Western …
Linear Statistical Inference and its Applications
"C. R. Rao would be found in almost any statisticians list of five outstanding workers in the world of Mathematical Statistics today. His book represents a comprehensive account …
Hilbert Space Methods in Probability and Statistical Inference
Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration, …
Probability and Statistical Inference
Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and inference that are fundamental to a proper …
Principles Of Statistical Inference From A Neo-fisherian Perspective
In this book, an integrated introduction to statistical inference is provided from a frequentist likelihood-based viewpoint. Classical results are presented together with recent …
Probability and Statistical Inference
The interaction of various ideas from different researchers provides a main impetus to mathematical prosress. An important way to make communication possible is through …
Probability and Statistical Inference
This book is in two volumes, and is intended as a text for introductory courses in probability and statistics at the second or third year university level. It emphasizes …
Statistical Inference for Fractional Diffusion Processes
Stochastic processes are widely used for model building in the social, physical, engineering and life sciences as well as in financial economics. In model building, statistical …
Predictive Inference
The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable …
Bayesian nonparametrics for causal inference and missing data
Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions …