Applied Linear Algebra, Probability and Statistics

Applied Linear Algebra, Probability and Statistics
Author: Ravindra B. Bapat
Publisher: Springer Nature
Total Pages: 540
Release: 2023-07-31
Genre: Mathematics
ISBN: 9819923107

This book focuses on research in linear algebra, statistics, matrices, graphs and their applications. Many chapters in the book feature new findings due to applications of matrix and graph methods. The book also discusses rediscoveries of the subject by using new methods. Dedicated to Prof. Calyampudi Radhakrishna Rao (C.R. Rao) who has completed 100 years of legendary life and continues to inspire us all and Prof. Arbind K. Lal who has sadly departed us too early, it has contributions from collaborators, students, colleagues and admirers of Professors Rao and Lal. With many chapters on generalized inverses, matrix analysis, matrices and graphs, applied probability and statistics, and the history of ancient mathematics, this book offers a diverse array of mathematical results, techniques and applications. The book promises to be especially rewarding for readers with an interest in the focus areas of applied linear algebra, probability and statistics.

Selected Papers of C.R. Rao

Selected Papers of C.R. Rao
Author: Calyampudi Radhakrishna Rao
Publisher: Taylor & Francis
Total Pages: 422
Release: 1989
Genre: Mathematical statistics
ISBN: 9788122412130

This Is The Fourth Volume Of Selected Papers Of C. R. Rao Consisting Of 39 Papers Published During 1975-1985. These Papers Represent The Development Of Some Of The Basic Concepts Proposed By The Author In The Fields Of Unified Theory Of Least Squares Estimation, Weighted Distributions, Bayesian Statistical Inference, Generalised Inverses Of Matrices And Their Applications In Which Contemporary Research Is Carried Out Extensively. Work On Solutions Of Functional Equations And Their Application In Characterizations Of Distributions Is Also Of Current Interest. Introduction Of Measures Of Diversity, Quadratic Entropy And Allied Concepts Find Applications In Various Fields Such As Anthropology And Social Sciences. As In The Earlier Volumes, The Papers That Have Originally Appeared In Different Publications Have Been Retypeset To Maintain Uniformity In Presentation.The Final Volume With More Papers, An Updated Bibliography Of Works And A Comprehensive Overview Of The Total Opus Of Professor C. R. Rao Is Going To Come Out Soon.

Semiparametric Odds Ratio Model and Its Applications

Semiparametric Odds Ratio Model and Its Applications
Author: Hua Yun Chen
Publisher: CRC Press
Total Pages: 296
Release: 2021-12-20
Genre: Mathematics
ISBN: 1351049747

Beginning with familiar models and moving onto advanced semiparametric modelling tools Semiparametric Odds Ratio Model and its Applications introduces readers to a new range of flexible statistical models and provides guidance on their application using real data examples. This books range of real-world examples and exploration of common statistical problems makes it an invaluable reference for research professionals and graduate students of biostatistics, statistics, and other quantitative fields. Key Features: Introduces flexible statistical models that have yet to systematically introduced in course materials. Discusses applications of the proposed modelling framework in several important statistical problems, ranging from biased sampling designs and missing data, graphical models, survival analysis, Gibbs sampler and model compatibility, and density estimation. Includes real data examples to demonstrate the use of the proposed models, and estimation and inference tools.

Statistical Data Analysis and Inference

Statistical Data Analysis and Inference
Author: Y. Dodge
Publisher: Elsevier
Total Pages: 630
Release: 2014-05-23
Genre: Mathematics
ISBN: 1483296113

A wide range of topics and perspectives in the field of statistics are brought together in this volume. The contributions originate from invited papers presented at an international conference which was held in honour of C. Radhakrishna Rao, one of the most eminent statisticians of our time and a distinguished scientist.

Statistical Computing

Statistical Computing
Author: Debasis Kundu
Publisher: Alpha Science Int'l Ltd.
Total Pages: 440
Release: 2004
Genre: Computers
ISBN: 9781842652022

Statistical Computing: Existing Methods and Recent Developments attempts to provide a state of the art account of existing methods and recent developments in the so called new field of Statistical Computing. Fourteen different chapters deal with a wide range of topics. This includes introductory topics such as the basic numerical analysis methods, random number generation, graphical techniques used in statistical data analysis and other areas. It also covers the more specialized techniques such as the EM algorithm, genetic algorithms, nonparametric smoothing techniques, resampling methods, and artificial neural network models, to name a few. In addition, the volume also deals with the computational issues involved in the analysis of mixture models, adaptive designs, weighted distributions, and statistical signal processing, topics which are unlikely to be covered in a standard text on Statistical Computing.

Nonparametric Estimation under Shape Constraints

Nonparametric Estimation under Shape Constraints
Author: Piet Groeneboom
Publisher: Cambridge University Press
Total Pages: 429
Release: 2014-12-11
Genre: Business & Economics
ISBN: 0521864011

This book introduces basic concepts of shape constrained inference and guides the reader to current developments in the subject.