Examples in Parametric Inference with R - Ulhas Jayram Dixit

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Résumé :
Prerequisite.- Chapter 1.?Sufficiency and Completeness.- Chapter 2.Unbiased Estimation.- Chapter 3.?Moment and Maximum Likelihood Estimators.- Chapter 4.Bound for the Variance.- Chapter 5. Consistent Estimator.- Chapter 6. Bayes Estimator.- Chapter 7. Most Powerful Test.- Chapter 8.Unbiased and Other Tests.- Bibliography....

Biographie:
Prerequisite.- Chapter 1. ?Sufficiency and Completeness.- Chapter 2. Unbiased Estimation.- Chapter 3. ?Moment and Maximum Likelihood Estimators.- Chapter 4. Bound for the Variance.- Chapter 5. Consistent Estimator.- Chapter 6. Bayes Estimator.- Chapter 7. Most Powerful Test.- Chapter 8. Unbiased and Other Tests.- Bibliography....

Sommaire:
Ulhas Jayram Dixit is Professor, at the Department of Statistics, University of Mumbai, India. He is the first Rothamsted International Fellow at Rothamsted Experimental Station in the UK, which is the world's oldest statistics department. Further, he received the Sesqui Centennial Excellence Award in research and teaching from the University of Mumbai in 2008. He is member of the New Zealand Statistical Association, the Indian Society for Probability and Statistics, Bombay Mathematical Colloquium, and the Indian Association for Productivity, Quality and Reliability. Editor of Statistical Inference and Design of Experiment (published by Narosa), Prof. Dixit has published over 40 papers in several international journals of repute. His topics of interest are outliers, measure theory, distribution theory, estimation, elements of stochastic process, non-parametric inference, stochastic process, linear models, queuing and information theory, multivariate analysis, financial mathematics, statistical methods, design of experiments, and testing of hypothesis. He received his Ph.D. degree from the University of Mumbai in 1989....