Beginning with an introduction to the basic ideas and techniques in probability theory and progressing to more rigorous topics, Probability and Statistical Inference studies the Helmert transformation for normal distributions and the ...
Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders.
Discusses both theoretical statistics and the practical applications of the theoretical developments. Includes a large numer of exercises covering both theory and applications.
Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation.
This review article covered developments in the field from 1966 through 1976. A few minor typographical errors in the original edition have been corrected in this new edition.
When values of X and Y are from a bivariate normal distribution , the test based on Spearman's correlation coefficient has an ARE of ( 3/7 ) 2 = 0.912 relative to a t - test based on Pearson's product - moment correlation .
Convergence rates of posterior distributions. The Annals of Statistics 28 500–531. GILKs, W. R., RICHARDSON, S. and SPIEGELHALTER, D. J. (1998). Markov Chain Monte Carlo in Practice. Chapman & Hall. GRIMMETT, G. and STIRZAKER, D.
Intended as a text for the postgraduate students of statistics, this well-written book gives a complete coverage of Estimation theory and Hypothesis testing, in an easy-to-understand style.
Fraser , D.A.S. ( 1956 ) Sufficient statistics with nuisance parameters . Annals of Mathematical Statistics 27 , 838-842 . 168. Fraser , D.A.S. ( 1968 ) The Structure of Inference . New York : John Wiley . 169. Fraser , D.A.S. ( 1990a ) ...
Concise account of main approaches; first textbook to synthesize modern computation with basic theory.