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The Resource Associated Sequences, Demimartingales and Nonparametric Inference, by B.L.S. Prakasa Rao, (electronic resource)
Associated Sequences, Demimartingales and Nonparametric Inference, by B.L.S. Prakasa Rao, (electronic resource)
Resource Information
The item Associated Sequences, Demimartingales and Nonparametric Inference, by B.L.S. Prakasa Rao, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Associated Sequences, Demimartingales and Nonparametric Inference, by B.L.S. Prakasa Rao, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
 Summary
 This book gives a comprehensive review of results for associated sequences and demimartingales developed so far, with special emphasis on demimartingales and related processes. One of the basic aims of theory of probability and statistics is to build stochastic models which explain the phenomenon under investigation and explore the dependence among various covariates which influence this phenomenon. Classic examples are the concepts of Markov dependence or of mixing for random processes. Esary, Proschan and Walkup introduced the concept of association for random variables, and Newman and Wright studied properties of processes termed as demimartingales. It can be shown that the partial sums of mean zero associated random variables form a demimartingale. Probabilistic properties of associated sequences, demimartingales and related processes are discussed in the first six chapters. Applications of some of these results to problems in nonparametric statistical inference for such processes are investigated in the last three chapters. This book will appeal to graduate students and researchers interested in probabilistic aspects of various types of stochastic processes and their applications in reliability theory, statistical mechanics, percolation theory and other areas
 Language
 eng
 Extent
 XII, 272 p.
 Contents

 Preface
 Associated Random Variables and Related Concepts
 Demimartingales
 NDemimartingales
 Conditional Demimartingales
 Multidimensionally Indexed Demimartingales and Continuous Parameter Demimartingales
 Limit Theorems for Associated Random Variables
 Nonparametric Estimation for Associated Sequences
 Nonparametric Tests for Associated Sequences
 Nonparametric Tests for Change in Marginal Density Function for Associated Sequences
 References
 Index
 Isbn
 9783034802406
 Label
 Associated Sequences, Demimartingales and Nonparametric Inference
 Title
 Associated Sequences, Demimartingales and Nonparametric Inference
 Statement of responsibility
 by B.L.S. Prakasa Rao
 Language
 eng
 Summary
 This book gives a comprehensive review of results for associated sequences and demimartingales developed so far, with special emphasis on demimartingales and related processes. One of the basic aims of theory of probability and statistics is to build stochastic models which explain the phenomenon under investigation and explore the dependence among various covariates which influence this phenomenon. Classic examples are the concepts of Markov dependence or of mixing for random processes. Esary, Proschan and Walkup introduced the concept of association for random variables, and Newman and Wright studied properties of processes termed as demimartingales. It can be shown that the partial sums of mean zero associated random variables form a demimartingale. Probabilistic properties of associated sequences, demimartingales and related processes are discussed in the first six chapters. Applications of some of these results to problems in nonparametric statistical inference for such processes are investigated in the last three chapters. This book will appeal to graduate students and researchers interested in probabilistic aspects of various types of stochastic processes and their applications in reliability theory, statistical mechanics, percolation theory and other areas
 http://library.link/vocab/creatorName
 Prakasa Rao, B.L.S
 Image bit depth
 0
 LC call number

 QA273.A1274.9
 QA274274.9
 Literary form
 non fiction
 http://library.link/vocab/relatedWorkOrContributorName
 SpringerLink
 Series statement
 Probability and its Applications
 http://library.link/vocab/subjectName

 Mathematics
 Distribution (Probability theory)
 Mathematics
 Probability Theory and Stochastic Processes
 Label
 Associated Sequences, Demimartingales and Nonparametric Inference, by B.L.S. Prakasa Rao, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 Preface  Associated Random Variables and Related Concepts  Demimartingales  NDemimartingales  Conditional Demimartingales  Multidimensionally Indexed Demimartingales and Continuous Parameter Demimartingales  Limit Theorems for Associated Random Variables  Nonparametric Estimation for Associated Sequences  Nonparametric Tests for Associated Sequences  Nonparametric Tests for Change in Marginal Density Function for Associated Sequences  References  Index
 Dimensions
 unknown
 Extent
 XII, 272 p.
 File format
 multiple file formats
 Form of item
 electronic
 Isbn
 9783034802406
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Other control number
 10.1007/9783034802406
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (DEHe213)9783034802406
 Label
 Associated Sequences, Demimartingales and Nonparametric Inference, by B.L.S. Prakasa Rao, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 Preface  Associated Random Variables and Related Concepts  Demimartingales  NDemimartingales  Conditional Demimartingales  Multidimensionally Indexed Demimartingales and Continuous Parameter Demimartingales  Limit Theorems for Associated Random Variables  Nonparametric Estimation for Associated Sequences  Nonparametric Tests for Associated Sequences  Nonparametric Tests for Change in Marginal Density Function for Associated Sequences  References  Index
 Dimensions
 unknown
 Extent
 XII, 272 p.
 File format
 multiple file formats
 Form of item
 electronic
 Isbn
 9783034802406
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Other control number
 10.1007/9783034802406
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (DEHe213)9783034802406
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.bu.edu/portal/AssociatedSequencesDemimartingalesand/kZc79mONho/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bu.edu/portal/AssociatedSequencesDemimartingalesand/kZc79mONho/">Associated Sequences, Demimartingales and Nonparametric Inference, by B.L.S. Prakasa Rao, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bu.edu/">Boston University Libraries</a></span></span></span></span></div>