9780817643867 - Resampling Methods: A Practical Guide to Data Analysis di Good, Phillip I. (12 risultati)

Hardcover. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Condizione: very_good. Item may have minor cosmetic defects such as marks, wears, cuts, bends, or crushes on the cover, spine, pages, or dust cover. Shrink wrap, dust covers, or boxed set case may be missing. Item may contain remainder marks on outside edges, which should be noted in listing comments. Item may be missing bundled media.

Hardcover. Condizione: Very Good. No Jacket. 3rd Edition. 2007.Hardcover.Very good condition.218 pages.Ships from Japan.Usually ships in 1-2 working days.

Condizione: New. In.

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

Condizione: New. A practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. It provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware. Num Pages: 218 pages, 50 black & white tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 14. Weight in Grams: 520. . 2005. 3rd ed. 2006. Hardback. . . . .

Hardcover. Condizione: Brand New. 3rd edition. 218 pages. 9.25x6.00x0.50 inches. In Stock.

Condizione: New. A practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. It provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware. Num Pages: 218 pages, 50 black & white tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 14. Weight in Grams: 520. . 2005. 3rd ed. 2006. Hardback. . . . . Books ship from the US and Ireland.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware. New to the third edition are additional program listings and screen shots of C++, CART, Blossom, Box Sampler (an Excel add-in), EViews, MATLAB, R, Resampling Stats, SAS macros, S-Plus, Stata,or StatXact, which accompany each resampling procedure. A glossary and solutions to selected exercises have also been added.With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for statisticians, biostatisticians, statistical consultants, students, and research professionals in the biological, physical, and social sciences, engineering, and technology. 242 pp. Englisch.

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Practical presentation covers both the bootstrap and permutations along with the program code necessary to put them to workDetailed coverage of classification, estimation, experimental design, hypothesis testing, and modelingNumerous exerci.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.New to the third edition are additional program listings and screen shots of C++, CART, Blossom, Box Sampler (an Excel add-in), EViews, MATLAB, R, Resampling Stats, SAS macros, S-Plus, Stata, or StatXact, which accompany each resampling procedure. A glossary and solutions to selected exercises have also been added. With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for statisticians, biostatisticians, statistical consultants, students, and research professionals in the biological, physical, and social sciences, engineering, and technology.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 242 pp. Englisch.