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introduction multivariate data analysis (46 risultati)
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Multivariate Data Analysis : An Introduction
Da: Better World Books, Mishawaka, IN, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Good. 0th Edition. Used book that is in clean, average condition without any missing pages.
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Multivariate Data Analysis: An Introduction
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Good. Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc.
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Multivariate Data Analysis: An Introduction
Lingua: Inglese
Editore: Burr Ridge, Illinois, U.S.A.: Richard d Irwin, 1983
ISBN 10: 0256028486 ISBN 13: 9780256028485
Da: Bingo Books 2, Vancouver, WA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Soft cover. Condizione: Near Fine. soft cover in near fine condition.
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An Introduction to Multivariate Data Analysis
Lingua: Inglese
Editore: Hodder Education Publishers, 2005
ISBN 10: 0340760842 ISBN 13: 9780340760840
Da: 3rd St. Books, Lees Summit, MO, U.S.A.
Valutazione del venditore 5 su 5 stelle
Prima edizione
Soft cover. Condizione: Very Good. 1st Edition. Very good, clean, tight condition. Text free of marks. Professional book dealer since 1999. All orders are processed promptly and carefully packaged.
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EUR 9,50
Spedizione EUR 23,06
Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloSoft cover. Condizione: Good. No Jacket. Condition : Good. Soft cover, no jacket. 232pp. No highlighting or annotations to main text. Photo on request.
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Introduction To Multivariate Data Analysis
Lingua: Inglese
Editore: Hodder Stoughton Educational, 2005
Da: Books in my Basket, New Delhi, India
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EUR 31,97
Spedizione EUR 16,00
Spedito da India a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloSoft cover. Condizione: New. ISBN:9780340760840.
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Matrix-Based Introduction to Multivariate Data Analysis
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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EUR 84,71
Spedizione EUR 3,43
Spedito in U.S.A.Quantità: Più di 20 disponibili
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Matrix-Based Introduction to Multivariate Data Analysis
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 88,25
Spedizione EUR 13,82
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Matrix-Based Introduction to Multivariate Data Analysis
Da: Chiron Media, Wallingford, Regno Unito
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EUR 87,77
Spedizione EUR 17,86
Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
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Matrix-Based Introduction to Multivariate Data Analysis
Da: Mooney's bookstore, Den Helder, Paesi Bassi
Valutazione del venditore 4 su 5 stelle
EUR 95,83
Spedizione EUR 9,95
Spedito da Paesi Bassi a U.S.A.Quantità: 1 disponibili
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Matrix-Based Introduction to Multivariate Data Analysis
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 301.
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Matrix-Based Introduction to Multivariate Data Analysis
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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EUR 121,73
Spedizione EUR 3,43
Spedito in U.S.A.Quantità: Più di 20 disponibili
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Matrix-Based Introduction to Multivariate Data Analysis
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 112,01
Spedizione EUR 13,82
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Introduction To Multivariate Data Analysis
Da: Books in my Basket, New Delhi, India
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EUR 59,33
Spedizione EUR 16,00
Spedito da India a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloN.A. Condizione: New. ISBN:9788126549764.
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Matrix-Based Introduction to Multivariate Data Analysis
Da: Chiron Media, Wallingford, Regno Unito
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EUR 112,88
Spedizione EUR 17,86
Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
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Matrix-Based Introduction to Multivariate Data Analysis
Da: California Books, Miami, FL, U.S.A.
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EUR 137,13
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Matrix-Based Introduction to Multivariate Data Analysis
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Apr 2018, 2018
ISBN 10: 9811095957 ISBN 13: 9789811095955
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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EUR 85,59
Spedizione EUR 60,00
Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 316 pp. Englisch.
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Matrix-Based Introduction to Multivariate Data Analysis
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10: 9811095957 ISBN 13: 9789811095955
EUR 90,34
Spedizione EUR 62,41
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter.This volume is appropriate for undergraduate students who already have studied introductory statistics. Graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis will also find the book useful, as it is based on modern matrix formulations with a special emphasis on singular value decomposition among theorems in matrix algebra.The book begins with an explanation of fundamental matrix operations and the matrix expressions of elementary statistics, followed by the introduction of popular multivariate procedures with advancing levels of matrix algebra chapter by chapter. This organization of the book allows readers without knowledge of matrices to deepen their understanding of multivariate data analysis.
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Matrix-Based Introduction to Multivariate Data Analysis
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 147,64
Spedizione EUR 13,82
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
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Matrix-Based Introduction to Multivariate Data Analysis
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 167,74
Spedizione EUR 3,43
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Matrix-Based Introduction to Multivariate Data Analysis
Da: California Books, Miami, FL, U.S.A.
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EUR 188,44
Spedizione gratuita
Spedito in U.S.A.Quantità: Più di 20 disponibili
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Multivariate Data Analysis: An introduction to Multivariate Analysis, Process Analytical Technology and Quality by Design
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 172,97
Spedizione EUR 17,30
Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 6th edition edition. 480 pages. 10.00x8.00x1.13 inches. In Stock.
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Matrix-Based Introduction to Multivariate Data Analysis
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Mai 2021, 2021
ISBN 10: 9811541051 ISBN 13: 9789811541056
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 128,39
Spedizione EUR 60,00
Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms. By explaining which models underlie particular procedures and what objective function is optimized to fit the model to the data, it enables readers to rapidly comprehend multivariate data analysis. Arranged so that readers can intuitively grasp the purposes for which multivariate analysis procedures are used, the book also offers clear explanations of those purposes, with numerical examples preceding the mathematical descriptions.Supporting the modern matrix formulations by highlighting singular value decomposition among theorems in matrix algebra, this book is useful for undergraduate students who have already learned introductory statistics, as well as for graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis.The book begins by explainingfundamental matrix operations and the matrix expressions of elementary statistics. Then, it offers an introduction to popular multivariate procedures, with each chapter featuring increasing advanced levels of matrix algebra.Further the book includes in six chapters on advanced procedures, covering advanced matrix operations and recently proposed multivariate procedures, such as sparse estimation, together with a clear explication of the differences between principal components and factor analyses solutions. In a nutshell, this book allows readers to gain an understanding of the latest developments in multivariate data science.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 480 pp. Englisch.
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Matrix-based Introduction to Multivariate Data Analysis
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 181,39
Spedizione EUR 14,42
Spedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 480 pages. 9.25x6.10x1.13 inches. In Stock.
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Matrix-Based Introduction to Multivariate Data Analysis
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811541051 ISBN 13: 9789811541056
EUR 132,72
Spedizione EUR 63,61
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms. By explaining which models underlie particular procedures and what objective function is optimized to fit the model to the data, it enables readers to rapidly comprehend multivariate data analysis. Arranged so that readers can intuitively grasp the purposes for which multivariate analysis procedures are used, the book also offers clear explanations of those purposes, with numerical examples preceding the mathematical descriptions.Supporting the modern matrix formulations by highlighting singular value decomposition among theorems in matrix algebra, this book is useful for undergraduate students who have already learned introductory statistics, as well as for graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis.The book begins by explainingfundamental matrix operations and the matrix expressions of elementary statistics. Then, it offers an introduction to popular multivariate procedures, with each chapter featuring increasing advanced levels of matrix algebra. Further the book includes in six chapters on advanced procedures, covering advanced matrix operations and recently proposed multivariate procedures, such as sparse estimation, together with a clear explication of the differences between principal components and factor analyses solutions. In a nutshell, this book allows readers to gain an understanding of the latest developments in multivariate data science.
-
Matrix-Based Introduction to Multivariate Data Analysis
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New.
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Matrix-Based Introduction to Multivariate Data Analysis 2nd ed. 2020 Edition
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New.
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Matrix-Based Introduction to Multivariate Data Analysis
Da: Mispah books, Redhill, SURRE, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 188,86
Spedizione EUR 28,83
Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. New. book.
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Matrix-Based Introduction to Multivariate Data Analysis
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Mai 2020, 2020
ISBN 10: 9811541027 ISBN 13: 9789811541025
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 171,19
Spedizione EUR 60,00
Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms. By explaining which models underlie particular procedures and what objective function is optimized to fit the model to the data, it enables readers to rapidly comprehend multivariate data analysis. Arranged so that readers can intuitively grasp the purposes for which multivariate analysis procedures are used, the book also offers clear explanations of those purposes, with numerical examples preceding the mathematical descriptions.Supporting the modern matrix formulations by highlighting singular value decomposition among theorems in matrix algebra, this book is useful for undergraduate students who have already learned introductory statistics, as well as for graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis.The book begins by explainingfundamental matrix operations and the matrix expressions of elementary statistics. Then, it offers an introduction to popular multivariate procedures, with each chapter featuring increasing advanced levels of matrix algebra.Further the book includes in six chapters on advanced procedures, covering advanced matrix operations and recently proposed multivariate procedures, such as sparse estimation, together with a clear explication of the differences between principal components and factor analyses solutions. In a nutshell, this book allows readers to gain an understanding of the latest developments in multivariate data science.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 480 pp. Englisch.
-
Matrix-Based Introduction to Multivariate Data Analysis
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811541027 ISBN 13: 9789811541025
EUR 175,09
Spedizione EUR 64,41
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms. By explaining which models underlie particular procedures and what objective function is optimized to fit the model to the data, it enables readers to rapidly comprehend multivariate data analysis. Arranged so that readers can intuitively grasp the purposes for which multivariate analysis procedures are used, the book also offers clear explanations of those purposes, with numerical examples preceding the mathematical descriptions.Supporting the modern matrix formulations by highlighting singular value decomposition among theorems in matrix algebra, this book is useful for undergraduate students who have already learned introductory statistics, as well as for graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis.The book begins by explainingfundamental matrix operations and the matrix expressions of elementary statistics. Then, it offers an introduction to popular multivariate procedures, with each chapter featuring increasing advanced levels of matrix algebra. Further the book includes in six chapters on advanced procedures, covering advanced matrix operations and recently proposed multivariate procedures, such as sparse estimation, together with a clear explication of the differences between principal components and factor analyses solutions. In a nutshell, this book allows readers to gain an understanding of the latest developments in multivariate data science.
