Peaceful Heart: A Woman's Journey of Healing

Author: Aimee Jo Martin
Category: Books
ISBN: 9780887394324
Format : Paperback
Publisher : Creative Arts Book Company

Min Price: 0.00 Max Price: 231.00

A book for both survivors and their loved ones, Peaceful Heart: A Woman's Journey of Healing outlines one woman's experience of coping with the trauma of a sexual attack. As a small-town teenager in the Midwest, seventeen-year-old Aimee Jo Martin was beaten and raped. Attempting to forget about the attack, she would be plagued with eating disorders, depression, rage, and distrust for the next fifteen years, despite her considerable professional accomplishments. Eventually, with the help of a loyal friend and licensed therapist who used EMDR therapy (Eye Movement Desensitization and Reprocessing), a treatment often effective for trauma victims, the clouds finally began to part for Aimee Jo. Her story is disturbing, yet ultimately hopeful.

Peaceful Heart: A Woman's Journey of Healing ( ISBN 9780887394324 )

Versandantiquariat Robert A. Mueller

Isernhagen, NDS, Germany
Price : 136 USD
Neuware 500 Seiten Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques, it continues to be the subject of much research, ranging from new model-based approaches to algorithmic ideas from neural networks. It is extremely versatile, with applications in many disciplines. The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. It includes core material, current research and a wide range of applications. Its length is nearly double that of the first edition. Researchers in statistics, or in other fields that use principal component analysis, will find that the book gives an authoritative yet accessible account of the subject. It is also a valuable resource for graduate courses in multivariate analysis. The book requires some knowledge of matrix algebra. Ian Jolliffe is Professor of Statistics at the University of Aberdeen. He is author or co-author of over 60 research papers and three other books. His research interests are broad, but aspects of principal component analysis have fascinated him and kept him busy for over 30 years. TOC:Introduction.- Properties of Population Principal Components.- Properties of Sample Principal Components.- Interpreting Principal Components: Examples.- Graphical Representation of Data Using Principal Components.- Choosing a Subset of Principal Components or Variables.- Principal Component Analysis and Factor Analysis.- Principal Components in Regression Analysis.- Principal Components Used with Other Multivariate Techniques.- Outlier Detection, Influential Observations and Robust Estimation.- Rotation and Interpretation of Principal Components.- Principal Component Analysis for Time Series and Other Non-Independent Data.- Principal Component Analysis for Special Types of Data.- Generalizations and Adaptations of Principal Component Analysis. Sprache/Language: English Gebunden 244mm x 161mm x 27mm, 873gr

Peaceful Heart: A Woman's Journey of Healing ( ISBN 9780887394324 )

Browns Books

Hull, AB, United Kingdom
Price : 94 USD
Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques, it continues to be the subject of much research, ranging from new model-based approaches to algorithmic ideas from neural networks. It is extremely versatile, with applications in many disciplines. The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. It includes core material, current research and a wide range of applications. Its length is nearly double that of the first edition. Researchers in statistics, or in other fields that use principal component analysis, will find that the book gives an authoritative yet accessible account of the subject. It is also a valuable resource for graduate courses in multivariate analysis. The book requires some knowledge of matrix algebra. Ian Jolliffe is Professor of Statistics at the University of Aberdeen. He is author or co-author of over 60 research papers and three other books. His research interests are broad, but aspects of principal component analysis have fascinated him and kept him busy for over 30 years. Retail Price

Peaceful Heart: A Woman's Journey of Healing ( ISBN 9780887394324 )

Interbooks-Service e.K.

Price : 136 USD
Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques, it continues to be the subject of much research, ranging from new model-based approaches to algorithmic ideas from neural networks. It is extremely versatile, with applications in many disciplines. The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. It includes core material, current research and a wide range of applications. Its length is nearly double that of the first edition. Researchers in statistics, or in other fields that use principal component analysis, will find that the book gives an authoritative yet accessible account of the subject. It is also a valuable resource for graduate courses in multivariate analysis. The book requires some knowledge of matrix algebra. Ian Jolliffe is Professor of Statistics at the University of Aberdeen. He is author or co-author of over 60 research papers and three other books. His research interests are broad, but aspects of principal component analysis have fascinated him and kept him busy for over 30 years. TOC:Introduction.- Properties of Population Principal Components.- Properties of Sample Principal Components.- Interpreting Principal Components: Examples.- Graphical Representation of Data Using Principal Components.- Choosing a Subset of Principal Components or Variables.- Principal Component Analysis and Factor Analysis.- Principal Components in Regression Analysis.- Principal Components Used with Other Multivariate Techniques.- Outlier Detection, Influential Observations and Robust Estimation.- Rotation and Interpretation of Principal Components.- Principal Component Analysis for Time Series and Other Non-Independent Data.- Principal Component Analysis for Special Types of Data.- Generalizations and Adaptations of Principal Component Analysis. Englisch.

Peaceful Heart: A Woman's Journey of Healing ( ISBN 9780887394324 )

Arvelle Buch- und Medienversand

Schenefeld, SH, Germany
Price : 136 USD
Neuware, sofort lieferbar. Rechnung mit MwSt. Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques, it continues to be the subject of much research, ranging from new model-based approaches to algorithmic ideas from neural networks. It is extremely versatile, with applications in many disciplines. The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. It includes core material, current research and a wide range of applications. Its length is nearly double that of the first edition. Researchers in statistics, or in other fields that use principal component analysis, will find that the book gives an authoritative yet accessible account of the subject. It is also a valuable resource for graduate courses in multivariate analysis. The book requires some knowledge of matrix algebra. Ian Jolliffe is Professor of Statistics at the University of Aberdeen. He is author or co-author of over 60 research papers and three other books. His research interests are broad, but aspects of principal component analysis have fascinated him and kept him busy for over 30 years. TOC:Introduction.- Properties of Population Principal Components.- Properties of Sample Principal Components.- Interpreting Principal Components: Examples.- Graphical Representation of Data Using Principal Components.- Choosing a Subset of Principal Components or Variables.- Principal Component Analysis and Factor Analysis.- Principal Components in Regression Analysis.- Principal Components Used with Other Multivariate Techniques.- Outlier Detection, Influential Observations and Robust Estimation.- Rotation and Interpretation of Principal Components.- Principal Component Analysis for Time Series and Other Non-Independent Data.- Principal Component Analysis for Special Types of Data.- Generalizations and Adaptations of Principal Component Analysis., Englisch, 500 S., 24,4cm x 16,1cm x 2,7cm, 873g.

Peaceful Heart: A Woman's Journey of Healing ( ISBN 9780887394324 )

AHA-BUCH

Einbeck, NDS, Germany
Price : 136 USD
- Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques, it continues to be the subject of much research, ranging from new model-based approaches to algorithmic ideas from neural networks. It is extremely versatile, with applications in many disciplines. The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. It includes core material, current research and a wide range of applications. Its length is nearly double that of the first edition. Researchers in statistics, or in other fields that use principal component analysis, will find that the book gives an authoritative yet accessible account of the subject. It is also a valuable resource for graduate courses in multivariate analysis. The book requires some knowledge of matrix algebra. Ian Jolliffe is Professor of Statistics at the University of Aberdeen. He is author or co-author of over 60 research papers and three other books. His research interests are broad, but aspects of principal component analysis have fascinated him and kept him busy for over 30 years. TOC:Introduction.- Properties of Population Principal Components.- Properties of Sample Principal Components.- Interpreting Principal Components: Examples.- Graphical Representation of Data Using Principal Components.- Choosing a Subset of Principal Components or Variables.- Principal Component Analysis and Factor Analysis.- Principal Components in Regression Analysis.- Principal Components Used with Other Multivariate Techniques.- Outlier Detection, Influential Observations and Robust Estimation.- Rotation and Interpretation of Principal Components.- Principal Component Analysis for Time Series and Other Non-Independent Data.- Principal Component Analysis for Special Types of Data.- Generalizations and Adaptations of Principal Component Analysis. 500pp. Englisch.

Peaceful Heart: A Woman's Journey of Healing ( ISBN 9780887394324 )

Blackwell Online

Oxford, OX, United Kingdom
Price : 139 USD
*** NEW COPY *** TITLE SHIPPED FROM UK *** Pages: 516, Preface to the Second Edition Preface to the First Edition Acknowledgments List of Figures List of Tables 1 Introduction 12 Properties of Population Principal Components 103 Properties of Sample Principal Components 294 Interpreting Principal Components: Examples 635 Graphical Representation of Data Using Principal Components 786 Choosing a Subset of Principal Components or Variables 1117 Principal Component Analysis and Factor Analysis 1508 Principal Components in Regression Analysis 1679 Principal Components Used with Other Multivariate Techniques 19910 Outlier Detection, Influential Observations and Robust Estimation 23211 Rotation and Interpretation of Principal Components 26912 PCA for Time Series and Other Non-Independent Data 29913 Principal Component Analysis for Special Types of Data 33814 Generalizations and Adaptations of Principal Component Analysis 373A Computation of Principal Components 407 Index 458 Author Index 478

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