Mathematical Statistics With Applications by Asha Seth Kapadia
Mathematical Statistics with Applications provides a thorough grounding in the prerequisite material along with an extensive link to the applications of the theory to the student's area of interest. This is a crucial resource for students who are not applied statisticians, but who wish to apply statistics to enrich their field of interest.-
Probability and Statistical Inference, Second Edition
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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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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
"Mathematical Statistics with Applications meets an unmet need in advanced undergraduate and graduate programsIt is remarkable in its coverage to modern statistical theory with the necessary rigor and its applications to practical problems. Another unique feature is the inclusion of mathematical results needed to understand statistical theory and modern computational tools for data analysis. All these features make the book a self contained and unique text for imparting a balanced knowledge of statistics to students aspiring to be in statistics profession or pursue a research career. It will also be a fine reference text for applied scientists who require the occasional use of mathematical statistics." -C.R. Rao, Sc. D., F.R.S. Member, National Academy of Science, USA, Eberly Professor Emeritus of Statistics, Director of the Center for Multivariate Analysis, Penn State University, University Park, Pennsylvania, USA "Each chapter has a number of exercises, in total about two hundred and fifty." -N. D. C. Veraverbeke, Short Book Reviews of the ISI "…would be a reasonable textbook for the introductory mathematical statistics sequence at the graduate level. The many applications will be an aid to learning and any theoretical deficiencies can be supplemented in the classroom." -Patricia Pepple Williamson, Virginia Commonwealth University, Journal of the American Statistical Association
Asha Seth Kapadia, Wenyaw Chan, Lemuel A. Moyé
| SKU | Unavailable |
| ISBN 13 | 9781032477893 |
| ISBN 10 | 103247789X |
| Title | Mathematical Statistics With Applications |
| Author | Asha Seth Kapadia |
| Series | Statistics: A Series Of Textbooks And Monographs |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | CRC Press |
| Year published | 2023-01-21 |
| Number of pages | 644 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |