Probability by Jim Pitman
Preface to the Instructor This is a text for a one-quarter or one-semester course in probability, aimed at stu- dents who have done a year of calculus. The book is organized so a student can learn the fundamental ideas of probability from the first three chapters without reliance on calculus. Later chapters develop these ideas further using calculus tools. The book contains more than the usual number of examples worked out in detail. It is not possible to go through all these examples in class. Rather, I suggest that you deal quickly with the main points of theory, then spend class time on problems from the exercises, or your own favorite problems. The most valuable thing for students to learn from a course like this is how to pick up a probability problem in a new setting and relate it to the standard body of theory. The more they see this happen in class, and the more they do it themselves in exercises, the better. The style of the text is deliberately informal. My experience is that students learn more from intuitive explanations, diagrams, and examples than they do from theo- rems and proofs. So the emphasis is on problem solving rather than theory.-
All of Statistics
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An Introduction to Statistical Learning
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A Modern Introduction to Probability and Statistics
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Modern Mathematical Statistics with Applications
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Statistics and Data Analysis for Financial Engineering
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Probability with Applications in Engineering, Science, and Technology
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Bayesian Essentials with R
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A First Course in Bayesian Statistical Methods
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Monte Carlo Statistical Methods
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The Bayesian Choice
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Plane Answers to Complex Questions
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Fundamentals of High-Dimensional Statistics
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Log-Linear Models and Logistic Regression
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Basics of Modern Mathematical Statistics
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Statistical Learning from a Regression Perspective
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Pathologie des Thymus
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Applied Regression Analysis
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Lectures on Advanced Topics in Categorical Data Analysis
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Counting for Something
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Regression Analysis
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Statistical Methods: The Geometric Approach
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Applied Multivariate Data Analysis
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Introduction to Statistics
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Studying Human Populations
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Introduction to Statistical Inference
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Elements of Statistics for the Life and Social Sciences
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Analysis of Variance in Experimental Design
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Prescriptions for Working Statisticians
Jim Pitman has worked at the University of California, Berkeley, as a Professor of Mathematics and Statistics since 1978. He studied at both the Australian National University and the University of Sheffield in the United Kingdom.
| SKU | Unavailable |
| ISBN 13 | 9780387979748 |
| ISBN 10 | 0387979743 |
| Title | Probability |
| Author | Jim Pitman |
| Series | Springer Texts In Statistics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 1993-05-12 |
| Number of pages | 560 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |