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Selected Papers of C.R. Rao

Selected Papers of C.R. Rao PDF Author: Calyampudi Radhakrishna Rao
Publisher: Taylor & Francis
ISBN: 9788122412857
Category : Mathematical statistics
Languages : en
Pages : 520

Book Description
The Volume Five Of Selected Papers Of C.R. Rao Consists Of 32 Papers That Appeared In Various Publications From 1985. These Papers Are Selected To Showcase Some Of The Fundamental Contributions In Characterizations Of Probability Distributions, Density Estimation, Analysis Of Multivariate Familial Data, Correspondence Analysis, Shape And Size Analysis, Signal Detection, Inference Based On Quadratic Entropy, Bootstrap, L-L Norm, Convex Discrepancy Function Etc., Estimation Problems In Univariate And Multivariate Linear Models And Regression Models Using Unified Theory Of Linear Estimation, M-Estimates, Lad Estimates Etc. And Many More Novel Concepts And Ideas With Enormous Potential For Further Research And In Which Active Research Is Being Carried Out.The Highlight Of This Volume Is The Stimulating Retrospection Of Prof. C.R. Rao About His Work Spanning The Last Three Score Years. An Updated Bibliography And A Brief Biographical Profile Of Prof. Rao Are Also Included.These Volumes Are Intended Not Only As A Ready Reference To Most Of Prof. Rao'S Oft Quoted And Used Results But Also To Inspire And Initiate Research Workers To The Broad Spectrum Of Areas In Theoretical And Applied Statistics In Which Prof. Rao Has Contributed.

Selected Papers of C.R. Rao

Selected Papers of C.R. Rao PDF Author: Calyampudi Radhakrishna Rao
Publisher: Taylor & Francis
ISBN: 9788122412857
Category : Mathematical statistics
Languages : en
Pages : 520

Book Description
The Volume Five Of Selected Papers Of C.R. Rao Consists Of 32 Papers That Appeared In Various Publications From 1985. These Papers Are Selected To Showcase Some Of The Fundamental Contributions In Characterizations Of Probability Distributions, Density Estimation, Analysis Of Multivariate Familial Data, Correspondence Analysis, Shape And Size Analysis, Signal Detection, Inference Based On Quadratic Entropy, Bootstrap, L-L Norm, Convex Discrepancy Function Etc., Estimation Problems In Univariate And Multivariate Linear Models And Regression Models Using Unified Theory Of Linear Estimation, M-Estimates, Lad Estimates Etc. And Many More Novel Concepts And Ideas With Enormous Potential For Further Research And In Which Active Research Is Being Carried Out.The Highlight Of This Volume Is The Stimulating Retrospection Of Prof. C.R. Rao About His Work Spanning The Last Three Score Years. An Updated Bibliography And A Brief Biographical Profile Of Prof. Rao Are Also Included.These Volumes Are Intended Not Only As A Ready Reference To Most Of Prof. Rao'S Oft Quoted And Used Results But Also To Inspire And Initiate Research Workers To The Broad Spectrum Of Areas In Theoretical And Applied Statistics In Which Prof. Rao Has Contributed.

Linear Models

Linear Models PDF Author: Calyampudi R. Rao
Publisher: Springer Science & Business Media
ISBN: 0387227520
Category : Mathematics
Languages : en
Pages : 439

Book Description
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.

Probability And Statistics - Proceedings Of The Special Program At The Nankai Institute Of Mathematics

Probability And Statistics - Proceedings Of The Special Program At The Nankai Institute Of Mathematics PDF Author: Ze Pei Jiang
Publisher: World Scientific
ISBN: 9814555290
Category :
Languages : en
Pages : 322

Book Description
The main topics covered in this proceedings include: Interacting Particle Systems, Markov Processes and Potential Theory, Random Fields, Stochastic Analysis, Large Deviation Theory, Fractals and Superprocesses; Nonparametric Analysis, Robust Analysis, Multivariate Analysis, The Projection Pursuit, The Jackknife, Time Series, Linear Model, Regression and Limit Theorems.

Advances In Statistics - Proceedings Of The Conference In Honor Of Professor Zhidong Bai On His 65th Birthday

Advances In Statistics - Proceedings Of The Conference In Honor Of Professor Zhidong Bai On His 65th Birthday PDF Author: Zehua Chen
Publisher: World Scientific
ISBN: 9814471755
Category : Mathematics
Languages : en
Pages : 397

Book Description
This book, which is split into two parts, is about Prof. Zhidong Bai's life and his contributions to statistics and probability. The first part contains an interview with Zhidong Bai conducted by Dr Atanu Biswas from the Indian Statistical Institute, and seven short articles detailing Bai's contributions. The second part is a collection of his selected seminal papers in the areas of random matrix theory, Edgeworth expansion, M-estimation, model selection, adaptive design in clinical trials, applied probability in algorithms, small area estimation, and time series, among others. This book provides an easy access to Zhidong Bai's important works, and serves as a useful reference for researchers who are working in the relevant areas.

Advances in Statistics

Advances in Statistics PDF Author: Zehua Chen
Publisher: World Scientific
ISBN: 9812793089
Category : Biography & Autobiography
Languages : en
Pages : 397

Book Description
This book, which is split into two parts, is about Prof. Zhidong Bai's life and his contributions to statistics and probability. The first part contains an interview with Zhidong Bai conducted by Dr Atanu Biswas from the Indian Statistical Institute, and seven short articles detailing Bai's contributions. The second part is a collection of his selected seminal papers in the areas of random matrix theory, Edgeworth expansion, M-estimation, model selection, adaptive design in clinical trials, applied probability in algorithms, small area estimation, and time series, among others. This book provides an easy access to Zhidong Bai's important works, and serves as a useful reference for researchers who are working in the relevant areas.

Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 816

Book Description
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

Multivariate Statistics and Probability

Multivariate Statistics and Probability PDF Author: C. R. Rao
Publisher: Academic Press
ISBN: 1483263835
Category : Mathematics
Languages : en
Pages : 582

Book Description
Multivariate Statistics and Probability: Essays in Memory of Paruchuri R. Krishnaiah is a collection of essays on multivariate statistics and probability in memory of Paruchuri R. Krishnaiah (1932-1987), who made significant contributions to the fields of multivariate statistical analysis and stochastic theory. The papers cover the main areas of multivariate statistical theory and its applications, as well as aspects of probability and stochastic analysis. Topics range from finite sampling and asymptotic results, including aspects of decision theory, Bayesian analysis, classical estimation, regression, and time-series problems. Comprised of 35 chapters, this book begins with a discussion on the joint asymptotic distribution of marginal quantiles and quantile functions in samples from a multivariate population. The reader is then introduced to kernel estimators of density function of directional data; moment conditions for valid formal edgeworth expansions; and ergodicity and central limit theorems for a class of Markov processes. Subsequent chapters focus on minimal complete classes of invariant tests for equality of normal covariance matrices and sphericity; normed likelihood as saddlepoint approximation; generalized Gaussian random fields; and smoothness properties of the conditional expectation in finitely additive white noise filtering. This monograph should be of considerable interest to researchers as well as to graduate students working in theoretical and applied statistics, multivariate analysis, and random processes.

Nonparametric and Semiparametric Methods in Econometrics and Statistics

Nonparametric and Semiparametric Methods in Econometrics and Statistics PDF Author: William A. Barnett
Publisher: Cambridge University Press
ISBN: 9780521424318
Category : Business & Economics
Languages : en
Pages : 512

Book Description
Papers from a 1988 symposium on the estimation and testing of models that impose relatively weak restrictions on the stochastic behaviour of data.

Statistica Sinica

Statistica Sinica PDF Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 640

Book Description


Current Index to Statistics, Applications, Methods and Theory

Current Index to Statistics, Applications, Methods and Theory PDF Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 798

Book Description
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.