Calyampudi Radhakrishna Rao's Books

Selected Papers of C.R. Rao

By: Calyampudi Radhakrishna Rao

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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.

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Page Count

422

Publisher

Taylor & Francis

Published Date

ISBN 10

8122412130

ISBN 13

9788122412130

Statistics And Truth: Putting Chance To Work (2nd Edition)

By: Calyampudi Radhakrishna Rao

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Statistics And Truth: Putting Chance To Work (2nd Edition)

By: Calyampudi Radhakrishna Rao

Written by one of the top most statisticians with experience in diverse fields of applications of statistics, the book deals with the philosophical and methodological aspects of information technology, collection and analysis of data to provide insight into a problem, whether it is scientific research, policy making by government or decision making in our daily lives.The author dispels the doubts that chance is an expression of our ignorance which makes accurate prediction impossible and illustrates how our thinking has changed with quantification of uncertainty by showing that chance is no longer the obstructor but a way of expressing our knowledge. Indeed, chance can create and help in the investigation of truth. It is eloquently demonstrated with numerous examples of applications that statistics is the science, technology and art of extracting information from data and is based on a study of the laws of chance. It is highlighted how statistical ideas played a vital role in scientific and other investigations even before statistics was recognized as a separate discipline and how statistics is now evolving as a versatile, powerful and inevitable tool in diverse fields of human endeavor such as literature, legal matters, industry, archaeology and medicine.Use of statistics to the layman in improving the quality of life through wise decision making is emphasized.

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Page Count

213

Publisher

World Scientific

Published Date

ISBN 10

9814497479

ISBN 13

9789814497473

Matrix Algebra And Its Applications To Statistics And Econometrics

By: Calyampudi Radhakrishna Rao,Mareppalli Bhaskara Rao

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Matrix Algebra And Its Applications To Statistics And Econometrics

By: Calyampudi Radhakrishna Rao,Mareppalli Bhaskara Rao

Written by two top statisticians with experience in teaching matrix methods for applications in statistics, econometrics and related areas, this book provides a comprehensive treatment of the latest techniques in matrix algebra. A well-balanced approach to discussing the mathematical theory and applications to problems in other areas is an attractive feature of the book. It can be used as a textbook in courses on matrix algebra for statisticians, econometricians and mathematicians as well. Some of the new developments of linear models are given in some detail using results of matrix algebra.

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Page Count

564

Publisher

World Scientific

Published Date

ISBN 10

981449691X

ISBN 13

9789814496919

Statistical Learning Using Neural Networks

A Guide for Statisticians and Data Scientists with Python

By: Basilio de Braganca Pereira,Calyampudi Radhakrishna Rao,Fabio Borges de Oliveira

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Statistical Learning Using Neural Networks

A Guide for Statisticians and Data Scientists with Python

By: Basilio de Braganca Pereira,Calyampudi Radhakrishna Rao,Fabio Borges de Oliveira

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks starting from the basics and increasingly demanding more effort from readers, who can learn the theory and its applications in statistical methods with concrete Python code examples. It presents a wide range of widely used statistical methodologies, applied in several research areas with Python code examples, which are available online. It is suitable for scientists and developers as well as graduate students. Key Features: Discusses applications in several research areas Covers a wide range of widely used statistical methodologies Includes Python code examples Gives numerous neural network models This book covers fundamental concepts on Neural Networks including Multivariate Statistics Neural Networks, Regression Neural Network Models, Survival Analysis Networks, Time Series Forecasting Networks, Control Chart Networks, and Statistical Inference Results. This book is suitable for both teaching and research. It introduces neural networks and is a guide for outsiders of academia working in data mining and artificial intelligence (AI). This book brings together data analysis from statistics to computer science using neural networks.

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Page Count

234

Publisher

CRC Press

Published Date

ISBN 10

0429775555

ISBN 13

9780429775550

Linear Models

Least Squares and Alternatives

By: Calyampudi R. Rao,Helge Toutenburg

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Linear Models

Least Squares and Alternatives

By: Calyampudi R. Rao,Helge Toutenburg

An up-to-date account of the theory and applications of linear models, for use as a textbook in statistics at graduate level as well as an accompanying text for other courses in which linear models play a part. The authors present a unified theory of inference from linear models with minimal assumptions, not only through least squares theory, but also using alternative methods of estimation and testing based on convex loss functions and general estimating equations. Highlights include: - a special emphasis on sensitivity analysis and model selection; - a chapter devoted to the analysis of categorical data based on logic, loglinear, and logistic regression models; - a chapter devoted to incomplete data sets; - an extensive appendix on matrix theory; - a chapter devoted to the analysis of categorical data based on a unified presentation of generalized linear models including GEE-methods for correlated response; - a chapter devoted to incomplete data sets including regression diagnostics to identify Non-MCAR-processes The material covered is thus invaluable not only to graduates, but also to researchers and consultants in statistics.

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Page Count

439

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387227520

ISBN 13

9780387227528

Book's by Calyampudi Radhakrishna Rao

Selected Papers of C.R. Rao

Selected Papers of C.R. Rao

Statistics And Truth: Putting Chance To Work (2nd Edition)

Statistics And Truth: Putting Chance To Work (2nd Edition)

Matrix Algebra And Its Applications To Statistics And Econometrics

Matrix Algebra And Its Applications To Statistics And Econometrics

Statistical Learning Using Neural Networks

Statistical Learning Using Neural Networks

Linear Models

Linear Models

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