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The Resource Mathematical Statistics : A Unified Introduction, by George R. Terrell, (electronic resource)
Mathematical Statistics : A Unified Introduction, by George R. Terrell, (electronic resource)
Resource Information
The item Mathematical Statistics : A Unified Introduction, by George R. Terrell, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.This item is available to borrow from all library branches.
Resource Information
The item Mathematical Statistics : A Unified Introduction, by George R. Terrell, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.
This item is available to borrow from all library branches.
 Summary
 Whyanothertextbook? The statistical community generally agrees that at the upper undergraduate level, or the beginning master’s level, students of statistics should begin to study the mathematical methods of the ?eld. We assume that by thentheywillhavestudiedtheusualtwo yearcollegesequence,includingcalculus through multiple integrals and the basics of matrix algebra. Therefore, they are ready to learn the foundations of their subject, in much more depth than is usual in an applied, “cookbook,” introduction to statistical methodology. There are a number of well written, widely used textbooks for such a course. These seem to re?ect a consensus for what needs to be taught and how it should be taught. So, why do we need yet another book for this spot in the curriculum? I learned mathematical statistics with the help of the standard texts. Since then, Ihavetaughtthiscourseandsimilaronesmanytimes,atseveraldifferentuniversi ties,usingwell thought oftextbooks.Butfromthebeginning,Ifeltthatsomething was wrong. It took me several years to articulate the problem, and many more to assemble my solution into the book you have in your hand. You see, I spend the rest of my day in statistical consulting and statistical re search. I should have been preparing my mathematical statistics students to join me in this exciting work. But from seeing what the better graduating seniors and beginning graduate students usually knew, I concluded that the standard curricu lumwasnotteachingthemtobesophisticatedcitizensofthestatisticalcommunity
 Language

 eng
 eng
 Edition
 1st ed. 1999.
 Extent
 1 online resource (477 p.)
 Note
 Includes index
 Contents

 Getting Started
 Structural Models for Data
 Least Squares Methods
 Combinatorial Probability
 Other Probability Models
 Discrete Random Variables I: The Hypergeometric Process
 Discrete Random Variables II: The Bernoulli Process
 Random Vectors and Random Samples
 Maximum Likelihood Estimates for Discrete Models
 Continuous Random Variables I: The Gamma and Beta Families
 Continuous Random Variables II: Expectations and the Normal Family
 Continuous Random Vectors
 Sampling Statistics for the Linear Model
 Representing Distributions
 Isbn
 9781280010453
 Label
 Mathematical Statistics : A Unified Introduction
 Title
 Mathematical Statistics
 Title remainder
 A Unified Introduction
 Statement of responsibility
 by George R. Terrell
 Language

 eng
 eng
 Summary
 Whyanothertextbook? The statistical community generally agrees that at the upper undergraduate level, or the beginning master’s level, students of statistics should begin to study the mathematical methods of the ?eld. We assume that by thentheywillhavestudiedtheusualtwo yearcollegesequence,includingcalculus through multiple integrals and the basics of matrix algebra. Therefore, they are ready to learn the foundations of their subject, in much more depth than is usual in an applied, “cookbook,” introduction to statistical methodology. There are a number of well written, widely used textbooks for such a course. These seem to re?ect a consensus for what needs to be taught and how it should be taught. So, why do we need yet another book for this spot in the curriculum? I learned mathematical statistics with the help of the standard texts. Since then, Ihavetaughtthiscourseandsimilaronesmanytimes,atseveraldifferentuniversi ties,usingwell thought oftextbooks.Butfromthebeginning,Ifeltthatsomething was wrong. It took me several years to articulate the problem, and many more to assemble my solution into the book you have in your hand. You see, I spend the rest of my day in statistical consulting and statistical re search. I should have been preparing my mathematical statistics students to join me in this exciting work. But from seeing what the better graduating seniors and beginning graduate students usually knew, I concluded that the standard curricu lumwasnotteachingthemtobesophisticatedcitizensofthestatisticalcommunity
 http://library.link/vocab/creatorName
 Terrell, George R
 Dewey number
 519.5
 http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
 9d6pxgbn3ow
 Language note
 English
 LC call number
 QA276280
 Literary form
 non fiction
 Nature of contents
 dictionaries
 Series statement
 Springer Texts in Statistics,
 http://library.link/vocab/subjectName

 Mathematical statistics
 Distribution (Probability theory
 Statistical Theory and Methods
 Probability Theory and Stochastic Processes
 Label
 Mathematical Statistics : A Unified Introduction, by George R. Terrell, (electronic resource)
 Note
 Includes index
 Carrier category
 online resource
 Carrier category code

 cr
 Content category
 text
 Content type code

 txt
 Contents
 Getting Started  Structural Models for Data  Least Squares Methods  Combinatorial Probability  Other Probability Models  Discrete Random Variables I: The Hypergeometric Process  Discrete Random Variables II: The Bernoulli Process  Random Vectors and Random Samples  Maximum Likelihood Estimates for Discrete Models  Continuous Random Variables I: The Gamma and Beta Families  Continuous Random Variables II: Expectations and the Normal Family  Continuous Random Vectors  Sampling Statistics for the Linear Model  Representing Distributions
 Dimensions
 unknown
 Edition
 1st ed. 1999.
 Extent
 1 online resource (477 p.)
 Form of item
 online
 Isbn
 9781280010453
 Media category
 computer
 Media type code

 c
 Other control number
 10.1007/b98961
 Specific material designation
 remote
 System control number

 (CKB)111087027063554
 (EBL)3035255
 (SSID)ssj0000199188
 (PQKBManifestationID)11172689
 (PQKBTitleCode)TC0000199188
 (PQKBWorkID)10185222
 (PQKB)10410181
 (DEHe213)9780387227696
 (MiAaPQ)EBC3035255
 (EXLCZ)99111087027063554
 Label
 Mathematical Statistics : A Unified Introduction, by George R. Terrell, (electronic resource)
 Note
 Includes index
 Carrier category
 online resource
 Carrier category code

 cr
 Content category
 text
 Content type code

 txt
 Contents
 Getting Started  Structural Models for Data  Least Squares Methods  Combinatorial Probability  Other Probability Models  Discrete Random Variables I: The Hypergeometric Process  Discrete Random Variables II: The Bernoulli Process  Random Vectors and Random Samples  Maximum Likelihood Estimates for Discrete Models  Continuous Random Variables I: The Gamma and Beta Families  Continuous Random Variables II: Expectations and the Normal Family  Continuous Random Vectors  Sampling Statistics for the Linear Model  Representing Distributions
 Dimensions
 unknown
 Edition
 1st ed. 1999.
 Extent
 1 online resource (477 p.)
 Form of item
 online
 Isbn
 9781280010453
 Media category
 computer
 Media type code

 c
 Other control number
 10.1007/b98961
 Specific material designation
 remote
 System control number

 (CKB)111087027063554
 (EBL)3035255
 (SSID)ssj0000199188
 (PQKBManifestationID)11172689
 (PQKBTitleCode)TC0000199188
 (PQKBWorkID)10185222
 (PQKB)10410181
 (DEHe213)9780387227696
 (MiAaPQ)EBC3035255
 (EXLCZ)99111087027063554
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