applied statistics using spss (54 résultats)

Hardcover. Etat : Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Hardcover. Etat : Very Good. Applied Statistics Using SPSS, STATISTICA, MATLAB and R This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

Etat : Very Good. Very light shelfwear, the book is clean and feels unused.

Paperback. Etat : Brand New. 101 pages. 9.00x6.00x0.26 inches. In Stock.

Hardback. Etat : Very Good. No Jacket. First edition. 1st 2003. Slightly better than very good condition with no wrapper. Aimed at those who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB and STATISTICA, this text provides a comprehensive coverage of the main statistical analysis topics important for practical applications such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. Includes CD-ROM to rear. Matt boards. A few light scuffs to boards. CD-ROM is present. Possible infrequent annotation present, not noticeable in initial inspection. Packaged with care and promptly dispatched!

Etat : New. In.

PF. Etat : New.

Etat : New.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.

Etat : New.

Etat : New.

Etat : New. pp. 474.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Etat : New. In.

Paperback. Etat : New.

Taschenbuch. Etat : 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. Etat : Brand New. 500 pages. 9.25x6.10x5.71 inches. In Stock.

Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 536 pp. Englisch.

paperback. Etat : New. New. book.

Hardcover. Etat : new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.

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

Etat : New.

Etat : New.

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This comprehensive textbook equips students of economics and business, as well as industry professionals, with essential principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Through real-world business examples, it illustrates the practical use of univariate, bivariate, and multivariate statistical methods.The content spans a broad range of topics, from data collection and scaling to the presentation and fundamental univariate analysis of quantitative data, while also demonstrating advanced analytical techniques for exploring multivariate relationships. The book systematically covers all topics typically included in university-level courses on statistics and advanced applied data analysis. Beyond theoretical discussion, it offers hands-on guidance for using statistical software tools such as Excel, SPSS, Stata, and R.In this completely revised and updated second edition, new sections on logistic regression are included, along with enhanced examples and solutions using R for all covered statistical methods. This edition provides a robust resource for mastering applied statistics in both academic and professional settings.

Etat : New. In.

Paperback. Etat : New. New. book.

Buch. Etat : 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.

Buch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 536 pp. Englisch.