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Advanced Statistical Methods in Biometric Research

Advanced Statistical Methods in Biometric Research PDF Author: Calyampudi Radhakrishna Rao
Publisher: Hafner Press
ISBN:
Category : Science
Languages : en
Pages : 424

Book Description
Algebra of vectors and matrices; Theory of distributions; The theory of linear estimation and tests of hypotheses; The general theory of estimation and the method of maximum likelihood; Large sample tests of hypotheses with applications to problems of estimation; Tests of homogeneity of variances and correlations; Tests of significance in multivariate analysis; Statistical inference applied to classificatory problems; The concept of distance and the problem of group constellations.

Advanced Statistical Methods in Biometric Research

Advanced Statistical Methods in Biometric Research PDF Author: Calyampudi Radhakrishna Rao
Publisher: Hafner Press
ISBN:
Category : Science
Languages : en
Pages : 424

Book Description
Algebra of vectors and matrices; Theory of distributions; The theory of linear estimation and tests of hypotheses; The general theory of estimation and the method of maximum likelihood; Large sample tests of hypotheses with applications to problems of estimation; Tests of homogeneity of variances and correlations; Tests of significance in multivariate analysis; Statistical inference applied to classificatory problems; The concept of distance and the problem of group constellations.

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.

Advanced statistical methods in biometric research

Advanced statistical methods in biometric research PDF Author: Calyampudi Radhakrishna Rao
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description


Statistical Methods for Spatial Planning and Monitoring

Statistical Methods for Spatial Planning and Monitoring PDF Author: Silvestro Montrone
Publisher: Springer Science & Business Media
ISBN: 8847027500
Category : Mathematics
Languages : en
Pages : 167

Book Description
The book aims to investigate methods and techniques for spatial statistical analysis suitable to model spatial information in support of decision systems. Over the last few years there has been a considerable interest in these tools and in the role they can play in spatial planning and environmental modelling. One of the earliest and most famous definition of spatial planning was “a geographical expression to the economic, social, cultural and ecological policies of society”: borrowing from this point of view, this text shows how an interdisciplinary approach is an effective way to an harmonious integration of national policies with regional and local analysis. A wide range of spatial models and techniques is, also, covered: spatial data mining, point processes analysis, nearest neighbor statistics and cluster detection, Fuzzy Regression model and local indicators of spatial association; all of these tools provide the policy-maker with a valuable support to policy development.

Topics in Statistical Methodology

Topics in Statistical Methodology PDF Author: Suddhendu Biswas
Publisher: New Age International
ISBN: 9788122402476
Category : Mathematics
Languages : en
Pages : 642

Book Description
The Text Book Covers All Traditional As Well As Newly Emerging Topics In Statistical Methodology. A Broad General Description Of The Book Consists Of(I) A Lucid Presentation To The Motivation Of The Modern Axiomatic Approach To Probability.(Ii) Study Of All Major Distributions (Inclusive Of Circular, Log-Normal Singular) With New Interpretations Ofsome Distributions (Ex. Pareto, Logistic Etc.)(Iii) Model Oriented Approach To The Generations Of Normal, Log-Normal, Cauchy, Exponential, Gamma And Other Waiting Distributions And Their Characterizations.(Iv) Techniques Of Truncated And Censored Distributions Vis-À-Vis Parametric, Non-Parametric, Bayesian And Sequential Inference Procedures, The Backgrounds Of Which Have Been Provided.(V) Inclusion Of Classical Topics As Pearsonian Curves, Gram-Charlier Series And Orthogonal Polynomials.Some Of The Distinguishing Features Are As Follows: * Introducing The Concept Of Correlation As A Milestone In The Development Of Regression Theory. * A Large Number Of Solved Examples And A Wide Collection Of Unsolved Problems With Occasional Hints. * A Geometrical Treatment Of Non-Central X2.

Multivariate Statistical Methods

Multivariate Statistical Methods PDF Author: George A. Marcoulides
Publisher: Psychology Press
ISBN: 1317778545
Category : Psychology
Languages : en
Pages : 338

Book Description
Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical analysis. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details to a minimum while conveying the basic principles. One of the principal strategies used throughout the book--in addition to the presentation of actual data analyses--is pointing out the analogy between a common univariate statistical technique and the corresponding multivariate method. Many computer examples--drawing on SAS software --are used as demonstrations. Throughout the book, the computer is used as an adjunct to the presentation of a multivariate statistical method in an empirically oriented approach. Basically, the model adopted in this book is to first present the theory of a multivariate statistical method along with the basic mathematical computations necessary for the analysis of data. Subsequently, a real world problem is discussed and an example data set is provided for analysis. Throughout the presentation and discussion of a method, many references are made to the computer, output are explained, and exercises and examples with real data are included.

Research Methodology: A Guide for Researchers In Agricultural Science, Social Science and Other Related Fields

Research Methodology: A Guide for Researchers In Agricultural Science, Social Science and Other Related Fields PDF Author: Pradip Kumar Sahu
Publisher: Springer Science & Business Media
ISBN: 8132210204
Category : Technology & Engineering
Languages : en
Pages : 439

Book Description
This book is the outcome of more than 20 years of experience of the author in teaching and research field. The wider scope and coverage of the book will help not only the students/ researchers/professionals in the field of agriculture and allied disciplines, but also the researchers and practitioners in other fields. Written in simple and lucid language, the book would appeal to all those who are meant to be benefitted out of it. All efforts have been made to present "RESEARCH", its meaning, intention and usefulness. The book reflects current methodological techniques used in interdisciplinary research, as illustrated with many relevant worked out examples. Designing of research programme, selection of variables, collection of data and their analysis to interpret the data are discussed extensively. Statistical tools are complemented with real-life examples, making the otherwise complicated subject like statistics seem simpler. Attempts have been made to demonstrate how a user can solve the problems using simple computer-oriented programme. Emphasis is placed not only on solving the problems in various fields but also on drawing inferences from the problems. The importance of instruments and computers in research processes and statistical analyses along with their misuse/incorrect use is also discussed to make the user aware about the correct use of specific technique. In all the chapters, theories are combined with examples, and steps are enumerated to follow the correct use of the available packages like MSEXCELL, SPSS, SPAR1, SAS etc. Utmost care has been taken to present varied range of research problems along with their solutions in agriculture and allied fields which would be of immense use to readers.

Water-resources Investigations Report

Water-resources Investigations Report PDF Author:
Publisher:
ISBN:
Category : Hydrology
Languages : en
Pages : 96

Book Description


Spatial Statistics and Models

Spatial Statistics and Models PDF Author: G.L. Gaile
Publisher: Springer Science & Business Media
ISBN: 9401730482
Category : Social Science
Languages : en
Pages : 480

Book Description
The quantitative revolution in geography has passed. The spirited debates of the past decades have, in one sense, been resolved by the inclusion of quantitative techniques into the typical geographer's set of methodological tools. A new decade is upon us. Throughout the quantitative revolution, geographers ransacked related disciplines and mathematics in order to find tools which might be applicable to problems of a spatial nature. The early success of Berry and Marble's Spatial Analysis and Garrison and Marble's volumes on Quantitative Geog raphy is testimony to their accomplished search. New developments often depend heavily on borrowed ideas. It is only after these developments have been established that the necessary groundwork for true innovation ob tains. In the last decade, geographers significantly -augmented their methodologi cal base by developing quantitative techniques which are specifically directed towards analysis of explicitly spatial problems. It should be pointed out, however, that the explicit incorporation of space into quantitative techniques has not been the sole domain of geographers. Mathematicians, geologists, meteorologists, economists, and regional scientists have shared the geo grapher's interest in the spatial component of their analytical tools.

An Introduction to Applied Multivariate Analysis

An Introduction to Applied Multivariate Analysis PDF Author: Tenko Raykov
Publisher: Routledge
ISBN: 113667599X
Category : Business & Economics
Languages : en
Pages : 514

Book Description
This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral, social, and educational sciences. Analogies betwe