
Statistics in the 21st Century by Adrian E Raftery
This volume discusses an important area of statistics and highlights the most important statistical advances. It is divided into four sections: statistics in the life and medical sciences, business and social science, the physical sciences and engineering, and theory and methods of statistics.-
Statistical Inference
-
Practical Risk Theory for Actuaries
-
Analysis of Survival Data
-
Generalized Linear Models with Random Effects
-
An Introduction to the Bootstrap
-
Queues
-
Transformation and Weighting in Regression
-
Sequential Analysis
-
Asymptotic Analysis of Mixed Effects Models
-
Statistics for Long-Memory Processes
-
Analysis of Infectious Disease Data
-
ROC Curves for Continuous Data
-
Missing Data in Longitudinal Studies
-
Analyzing and Modeling Rank Data
-
Stochastic Geometry
-
Semimartingales and their Statistical Inference
-
Accelerated Life Models
-
Statistical Analysis of Spatial and Spatio-Temporal Point Patterns
-
Quasi-Least Squares Regression
-
Large Covariance and Autocovariance Matrices
-
Design and Analysis of Cross-Over Trials
-
Analysis of Variance for Functional Data
-
Pareto Distributions
-
Analysis of Incomplete Multivariate Data
-
Simultaneous Inference in Regression
-
Gaussian Markov Random Fields
-
Sufficient Dimension Reduction
-
Markov Models & Optimization
-
Multidimensional Scaling
-
Biplots
-
Analog Est Methods Econometric
-
Measurement Error in Nonlinear Models
-
Predictive Inference
-
Subjective Probability Models for Lifetimes
-
Smoothing Splines
-
Bayesian Inference for Partially Identified Models
-
Maximum Likelihood Estimation for Sample Surveys
-
Mean Field Simulation for Monte Carlo Integration
-
Robust Nonparametric Statistical Methods
-
The Statistical Analysis of Multivariate Failure Time Data
-
Measuring Statistical Evidence Using Relative Belief
-
Sequential Change Detection and Hypothesis Testing
"This impressive volume is highly recommended for all statisticians as well as anybody who is interested in applying statistics in any science" - Perceptual and Motor Skills, December 2001 "Even though statistics is used in different disciplines in different contexts, this volume reveals an underlying cohesiveness of the field. With the growth of computer power and storage, researchers are analyzing large and complex data sets, leading to the need for new methods of model selection. Material is presented clearly and informatively. Extensive author and subject indexes. A valuable addition to academic libraries." --CHOICE Magazine, May 2002
Professor Sreenivasa Rao Jammalamadaka, formerly known as J. S. Rao and affectionately known to most of us as JS, was born on December 7, 1944, at Munipalle, India. Being under-aged for engineering studies was a blessing in disguise, and he was among the first batch of students selected for the Bachelor of Statistics (B. Stat.) degree at the Indian Statistical Institute (ISI), Kolkata. He received his Masters and Ph.D. degrees also from the ISI, and has the distinction of being the first B.Stat.-M.Stat.-Ph.D. of the ISI. He received his education from such legendary figures as Professors P. C. Mahalanobis, J. B. S. Haldane, C. R. Rao, and D. Basu among others, and worked with Professor C.R. Rao for his Ph.D. (1969) on a then newly emerging area, Directional Data Analysis. JS moved to the USA in 1969 and was a faculty member at the Indiana University and then at the University of Wisconsin, Madison, before he moved to the University of California, Santa Barbara (UCSB) in 1976, where he has remained since then. At UCSB he played a leading role in creating the new Department of Statistics and Applied Probability and was its first Chairman. He has been a prodigious mentor to the graduate students in that department, having provided guidance to as many of 35 Ph.D. students, at the last count. Throughout his career, JS has been generous to his colleagues in India, inviting them to the U.S. and spending many of his sabbaticals helping Universities in India as well as in other countries. JS has published extensively in leading international journals. His research work spans a wide spectrum which includes: Goodness-of-Fit tests, Linear Models, Non-parametric and Semi-parametric inference, Bayesian analysis, Reliability, Spacings statistics, and most notably, Directional Data Analysis. He has written several books, both for undergraduate students as well as for advanced researchers. He has collaborated with a large number of researchers from around the world in general, and from India in particular. A Fellow of both the ASA and the IMS among other professional organizations, he has served the cause of statistics at many national and international levels, including that of the President of the International Indian Statistical Association.
| SKU | Unavailable |
| ISBN 13 | 9781584882725 |
| ISBN 10 | 1584882727 |
| Title | Statistics in the 21st Century |
| Author | Martin A Tanner |
| Series | Chapman And Hall Crc Monographs On Statistics And Applied Probability |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Taylor & Francis Inc |
| Year published | 2001-07-09 |
| Number of pages | 570 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |









































