Applied Statistics Using Spss by Marques Joaquim (27 results)

Hardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

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Paperback. Condition: new. Paperback. Four years have passed since the first edition of this book. During this time I have had the opportunity to apply it in classes obtaining feedback from students and inspiration for improvements. I have also benefited from many comments by users of the book. For the present second edition large parts of the book have undergone major revision, although the basic concept concise but sufficiently rigorous mathematical treatment with emphasis on computer applications to real datasets , has been retained. The second edition improvements are as follows: Inclusion of R as an application tool. As a matter of fact, R is a free software product which has nowadays reached a high level of maturity and is being increasingly used by many people as a statistical analysis tool. Chapter 3 has an added section on bootstrap estimation methods, which have gained a large popularity in practical applications. A revised explanation and treatment of tree classifiers in Chapter 6 with the inclusion of the QUEST approach. Several improvements of Chapter 7 (regression), namely: details concerning the meaning and computation of multiple and partial correlation coefficients, with examples; a more thorough treatment and exemplification of the ridge regression topic; more attention dedicated to model evaluation. Inclusion in the book CD of additional MATLAB functions as well as a set of R functions. Extra examples and exercises have been added in several chapters. The bibliography has been revised and new references added. Chapter 3 has an added section on bootstrap estimation methods, which have gained a large popularity in practical applications. Several improvements of Chapter 7 (regression), namely: details concerning the meaning and computation of multiple and partial correlation coefficients, with examples; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

hardcover. Condition: New. In shrink wrap. Looks like an interesting title!

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Condition: New. pp. 536 2nd Edition.

Condition: New. pp. 536 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

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Taschenbuch. Condition: Neu. Applied Statistics Using SPSS, STATISTICA, MATLAB and R | Joaquim P. Marques de Sá | Taschenbuch | xxiv | Englisch | 2014 | Springer | EAN 9783642437441 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Four years have passed since the first edition of this book. During this time I have had the opportunity to apply it in classes obtaining feedback from students and inspiration for improvements. I have also benefited from many comments by users of the book. For the present second edition large parts of the book have undergone major revision, although the basic concept - concise but sufficiently rigorous mathematical treatment with emphasis on computer applications to real datasets -, has been retained. The second edition improvements are as follows: - Inclusion of R as an application tool. As a matter of fact, R is a free software product which has nowadays reached a high level of maturity and is being increasingly used by many people as a statistical analysis tool. - Chapter 3 has an added section on bootstrap estimation methods, which have gained a large popularity in practical applications. - A revised explanation and treatment of tree classifiers in Chapter 6 with the inclusion of the QUEST approach. - Several improvements of Chapter 7 (regression), namely: details concerning the meaning and computation of multiple and partial correlation coefficients, with examples; a more thorough treatment and exemplification of the ridge regression topic; more attention dedicated to model evaluation. - Inclusion in the book CD of additional MATLAB functions as well as a set of R functions. - Extra examples and exercises have been added in several chapters. - The bibliography has been revised and new references added.

Paperback. Condition: Like New. Like New. book.

Paperback. Condition: new. Paperback. Four years have passed since the first edition of this book. During this time I have had the opportunity to apply it in classes obtaining feedback from students and inspiration for improvements. I have also benefited from many comments by users of the book. For the present second edition large parts of the book have undergone major revision, although the basic concept concise but sufficiently rigorous mathematical treatment with emphasis on computer applications to real datasets , has been retained. The second edition improvements are as follows: Inclusion of R as an application tool. As a matter of fact, R is a free software product which has nowadays reached a high level of maturity and is being increasingly used by many people as a statistical analysis tool. Chapter 3 has an added section on bootstrap estimation methods, which have gained a large popularity in practical applications. A revised explanation and treatment of tree classifiers in Chapter 6 with the inclusion of the QUEST approach. Several improvements of Chapter 7 (regression), namely: details concerning the meaning and computation of multiple and partial correlation coefficients, with examples; a more thorough treatment and exemplification of the ridge regression topic; more attention dedicated to model evaluation. Inclusion in the book CD of additional MATLAB functions as well as a set of R functions. Extra examples and exercises have been added in several chapters. The bibliography has been revised and new references added. Chapter 3 has an added section on bootstrap estimation methods, which have gained a large popularity in practical applications. Several improvements of Chapter 7 (regression), namely: details concerning the meaning and computation of multiple and partial correlation coefficients, with examples; Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Four years have passed since the first edition of this book. During this time I have had the opportunity to apply it in classes obtaining feedback from students and inspiration for improvements. I have also benefited from many comments by users of the book. For the present second edition large parts of the book have undergone major revision, although the basic concept - concise but sufficiently rigorous mathematical treatment with emphasis on computer applications to real datasets -, has been retained. The second edition improvements are as follows: - Inclusion of R as an application tool. As a matter of fact, R is a free software product which has nowadays reached a high level of maturity and is being increasingly used by many people as a statistical analysis tool. - Chapter 3 has an added section on bootstrap estimation methods, which have gained a large popularity in practical applications. - A revised explanation and treatment of tree classifiers in Chapter 6 with the inclusion of the QUEST approach. - Several improvements of Chapter 7 (regression), namely: details concerning the meaning and computation of multiple and partial correlation coefficients, with examples; a more thorough treatment and exemplification of the ridge regression topic; more attention dedicated to model evaluation. - Inclusion in the book CD of additional MATLAB functions as well as a set of R functions. - Extra examples and exercises have been added in several chapters. - The bibliography has been revised and new references added.

Hardcover. Condition: Brand New. 2nd hardback/cd-rom edition. 505 pages. 9.25x6.25x1.25 inches. In Stock.

Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Hardcover. Condition: Like New. Like New. book.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Intended for anyone needing to apply statistical analysis to a large variety of science and engineering problems, this book shows how to use SPSS, MATLAB, STATISTICA and R for data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The 2nd edition includes the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers, plus additional examples and exercises. 536 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Wide coverage of Statistical topics and methodsApplication to real life data and problems in various fields Guidance on how to use STATISTICA, SPSS, MATLAB and R in statistical analysis applicationsIntended for anyone needing to .

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides broad coverage of statistical topics and methods, and goes further to include applications of real-life data and problems across a range of fields. An instructional guide is included showing how to use STATISTICA, SPSS and MATLAB in statistical analysis applications. The book includes the popular free R language as one of the application tools. This new Second Edition includes a section on bootstrap estimation methods, which have earned considerable popularity in practical applications It also expands the section on correlation measures, adding matters such as partial and multiple correlation.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 536 pp. Englisch.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Intended for anyone needing to apply statistical analysis to a large variety of science and engineering problems, this book shows how to use SPSS, MATLAB, STATISTICA and R for data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The 2nd edition includes the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers, plus additional examples and exercises. 536 pp. Englisch.

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Wide coverage of Statistical topics and methodsApplication to real life data and problems in various fields Guidance on how to use STATISTICA, SPSS, MATLAB and R in statistical analysis applicationsWide coverage of Statistical to.

Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides broad coverage of statistical topics and methods, and goes further to include applications of real-life data and problems across a range of fields. An instructional guide is included showing how to use STATISTICA, SPSS and MATLAB in statistical analysis applications. The book includes the popular free R language as one of the application tools. This new Second Edition includes a section on bootstrap estimation methods, which have earned considerable popularity in practical applications It also expands the section on correlation measures, adding matters such as partial and multiple correlation.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 536 pp. Englisch.

Condition: New. PRINT ON DEMAND pp. 536.