Probability and Statistical Inference, Second Edition by Nitis Mukhopadhyay
This text presents the rigorous theory of probability and statistical inference using worked examples, exercises, figures, tables, and computer simulations to develop and illustrate concepts. Beginning with the basic ideas and techniques of probability theory and progressing to more rigorous topics, the author covers all of the topics typically addressed in a two-semester graduate or upper-level undergraduate course in probability and statistical inference, including hypothesis testing, Bayesian analysis, and sample-size determination. He reinforces important ideas and special techniques with drills and boxed summaries.-
Handbook of Beta Distribution and Its Applications
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Statistical Inference Based on Divergence Measures
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Bayesian Biostatistics
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Item Response Theory
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Response Surfaces: Designs and Analyses
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Survey Sampling
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Advanced Linear Models
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Growth Curves
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Randomized Response and Indirect Questioning Techniques in Surveys
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Lognormal Distributions
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A Primer in Probability
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Analytical Methods for Risk Management
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Introduction to Spatial Econometrics
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Statistical Methods in Discrimination Litigation
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Mathematical Statistics With Applications
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The Inverse Gaussian Distribution
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Asymptotics, Nonparametrics, and Time Series
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Probability and Statistical Inference
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Handbook of Empirical Economics and Finance
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Random Processes
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Seemingly Unrelated Regression Equations Models
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Parameter Estimation in Reliability and Life Span Models
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Applied Regression Analysis and Experimental Design
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Robust Regression
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Statistics of Quality
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Statistical Methods for Engineers and Scientists
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Econometrics
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Regression Analysis of Survival Data in Cancer Chemotherapy
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Handbook of Parallel Computing and Statistics
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Randomization Tests
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Multiple Comparisons, Selection and Applications in Biometry
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Introduction to Probability and Statistics
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Linear Least Squares Computations
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Sample Size Choice
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Bivariate Discrete Distributions
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The EM Algorithm and Related Statistical Models
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Statistics for the 21st Century
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Improving Efficiency by Shrinkage
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Bayesian Analysis of Linear Models
Praise for the First Edition
..the book contains unique features throughout. Examples are the moment problem, which is clarified through a nice example, the role of the probability generating functions, and the central limit theorem for the sample variance. Techniques and concepts are typically illustrated through a series of examples. Within a box is routinely summarized what it is that has been accomplished or where to go from that point. At the end of each chapter a long list of exercises is arranged according the sections.
-Zentralblatt MATH, 2000
...a marvelous book for students.
-Statistical Papers
...a handy reference as well as a good textbook.
-ISI Short Book Reviews
| SKU | Unavailable |
| ISBN 13 | 9781439835289 |
| ISBN 10 | 1439835284 |
| Title | Probability and Statistical Inference, Second Edition |
| Author | Nitis Mukhopadhyay |
| Series | Statistics: A Series Of Textbooks And Monographs |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | CRC Press |
| Year published | 2011-10-15 |
| Number of pages | 720 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |