9781461293712 - graphical exploratory data analysis di dutoit, s. h. c. h. c.; steyn, a. g. w.; stumpf, r. h. (10 risultati)
Lingua: Inglese
Editore: Springer 2011
Serie: Springer Texts in Statistics, Libro 56 di 111. Libro 56 di 111 - Springer Texts in Statistics
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Lingua: Inglese
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Serie: Springer Texts in Statistics, Libro 56 di 111. Libro 56 di 111 - Springer Texts in Statistics
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Lingua: Inglese
Editore: Springer 2011
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Editore: Springer 2012-07-31 2012
Serie: Springer Texts in Statistics, Libro 56 di 111. Libro 56 di 111 - Springer Texts in Statistics
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Lingua: Inglese
Editore: Springer 2012
Serie: Springer Texts in Statistics, Libro 56 di 111. Libro 56 di 111 - Springer Texts in Statistics
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Paperback. Condizione: Brand New. reprint edition. 323 pages. 9.25x6.10x0.74 inches. In Stock.
Lingua: Inglese
Editore: Springer New York, Springer New York 2011
Serie: Springer Texts in Statistics, Libro 56 di 111. Libro 56 di 111 - Springer Texts in Statistics
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Portraying data graphically certainly contributes toward a clearer and more penetrative understanding of data and also makes sophisticated statistical data analyses more marketable. This realization has emerged from many years of experience in tea…ching students, in research, and especially from engaging in statistical consulting work in a variety of subject fields. Consequently, we were somewhat surprised to discover that a comprehen sive, yet simple presentation of graphical exploratory techniques for the data analyst was not available. Generally books on the subject were either too incomplete, stopping at a histogram or pie chart, or were too technical and specialized and not linked to readily available computer programs. Many of these graphical techniques have furthermore only recently appeared in statis tical journals and are thus not easily accessible to the statistically unsophis ticated data analyst. This book, therefore, attempts to give a sound overview of most of the well-known and widely used methods of analyzing and portraying data graph ically. Throughout the book the emphasis is on exploratory techniques. Real izing the futility of presenting these methods without the necessary computer programs to actually perform them, we endeavored to provide working com puter programs in almost every case. Graphic representations are illustrated throughout by making use of real-life data. Two such data sets are frequently used throughout the text. In realizing the aims set out above we avoided intricate theoretical derivations and explanations but we nevertheless are convinced that this book will be of inestimable value even to a trained statistician.
Lingua: Inglese
Editore: Springer 2011
Serie: Springer Texts in Statistics, Libro 56 di 111. Libro 56 di 111 - Springer Texts in Statistics
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer New York Okt 2011 2011
Serie: Springer Texts in Statistics, Libro 56 di 111. Libro 56 di 111 - Springer Texts in Statistics
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Portraying data graphically certainly contributes toward a clearer and more penetrative understanding of data and also makes sophisticated statistical data analyses more marketable. This realization has emerged from many years of e…xperience in teaching students, in research, and especially from engaging in statistical consulting work in a variety of subject fields. Consequently, we were somewhat surprised to discover that a comprehen sive, yet simple presentation of graphical exploratory techniques for the data analyst was not available. Generally books on the subject were either too incomplete, stopping at a histogram or pie chart, or were too technical and specialized and not linked to readily available computer programs. Many of these graphical techniques have furthermore only recently appeared in statis tical journals and are thus not easily accessible to the statistically unsophis ticated data analyst. This book, therefore, attempts to give a sound overview of most of the well-known and widely used methods of analyzing and portraying data graph ically. Throughout the book the emphasis is on exploratory techniques. Real izing the futility of presenting these methods without the necessary computer programs to actually perform them, we endeavored to provide working com puter programs in almost every case. Graphic representations are illustrated throughout by making use of real-life data. Two such data sets are frequently used throughout the text. In realizing the aims set out above we avoided intricate theoretical derivations and explanations but we nevertheless are convinced that this book will be of inestimable value even to a trained statistician. 328 pp. Englisch.
Lingua: Inglese
Editore: Springer New York 2011
Serie: Springer Texts in Statistics, Libro 56 di 111. Libro 56 di 111 - Springer Texts in Statistics
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Da: moluna, Greven, , Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Portraying data graphically certainly contributes toward a clearer and more penetrative understanding of data and also makes sophisticated statistical data analyses more marketable. This realization has emerged from…many years of experience in teaching stud.
Lingua: Inglese
Editore: Springer, Copernicus Okt 2011 2011
Serie: Springer Texts in Statistics, Libro 56 di 111. Libro 56 di 111 - Springer Texts in Statistics
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Portraying data graphically certainly contributes toward a clearer and more penetrative understanding of data and also makes sophisticated statistical data analyses more marketable. This realization has emerged from many years of exper…ience in teaching students, in research, and especially from engaging in statistical consulting work in a variety of subject fields. Consequently, we were somewhat surprised to discover that a comprehen sive, yet simple presentation of graphical exploratory techniques for the data analyst was not available. Generally books on the subject were either too incomplete, stopping at a histogram or pie chart, or were too technical and specialized and not linked to readily available computer programs. Many of these graphical techniques have furthermore only recently appeared in statis tical journals and are thus not easily accessible to the statistically unsophis ticated data analyst. This book, therefore, attempts to give a sound overview of most of the well-known and widely used methods of analyzing and portraying data graph ically. Throughout the book the emphasis is on exploratory techniques. Real izing the futility of presenting these methods without the necessary computer programs to actually perform them, we endeavored to provide working com puter programs in almost every case. Graphic representations are illustrated throughout by making use of real-life data. Two such data sets are frequently used throughout the text. In realizing the aims set out above we avoided intricate theoretical derivations and explanations but we nevertheless are convinced that this book will be of inestimable value even to a trained statistician.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 328 pp. Englisch.
