9781584881612 - a contingency table approach to nonparametric testing de rayner, j.c.w.; best, d.j. (14 resultados)
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Librería: Ostrich, Fullerton, CA, Estados Unidos de AmericaOstrich
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Hardcover. Condición: Very Good. At 256 pages including index, this hardcover book is illustrated throughout with figures and table. Aside from the previous owner's stamp dated 8/24/2011, no marks or highlighting noted. The glossy illustrated cover is slightly scuffed and there is very light wear to the corners. Price includes s…hipping via USPS media mail to addresses in the USA. International buyers, please contact us via AbeBooks for shipping surcharge to be added to buyer's invoice.
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Condición: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipp…ed with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Hardcover. Condición: new. Hardcover. Most texts on nonparametric techniques concentrate on location and linear-linear (correlation) tests, with less emphasis on dispersion effects and linear-quadratic tests. Tests for higher moment effects are virtually ignored. Using a fresh approach, A Contingency Table Approach to Nonparamet…ric Testing unifies and extends the popular, standard tests by linking them to tests based on models for data that can be presented in contingency tables.This approach unifies popular nonparametric statistical inference and makes the traditional, most commonly performed nonparametric analyses much more complete and informative. It also makes tied data easily handled, and almost exact Monte Carlo p-values can be obtained. With data in contingency tables, one can then calculate a Pearson-type, chi-squared statistic and its components. For univariate data, the initial tests based on these components detect mean differences between treatments. For bivariate data, they detect correlations. This approach leads to tests that detect variance, skewness, and higher moment differences between treatments with univariate data, and higher bivariate moment differences with bivariate data.A lthough the methods advanced in this book have their genesis in traditional nonparametrics, incorporating the power of modern computers makes the approach more complete and more valid than previously possible.The authors' unified treatment and readable style make the subject easy to follow and the techniques easily implemented, whether you are a fledgling or a seasoned researcher. Nonparametric texts typically concentrate on location and linear-linear (correlation) tests, with a lesser focus on dispersion effects and linear-quadratic tests. Using a fresh approach, this book intends to unify and extend the popular, standard tests by linking them to tests based on models for data that can be presented in contingency tables. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: moluna, Greven, Alemaniamoluna
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EUR 258,04
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Condición: New. J.C.W. Rayner, D.J. BestMost texts on nonparametric techniques concentrate on location and linear-linear (correlation) tests, with less emphasis on dispersion effects and linear-quadratic tests. Tests for higher moment effects are virtually ignored. .
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 298,92
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condición: New. Nonparametric texts typically concentrate on location and linear-linear (correlation) tests, with a lesser focus on dispersion effects and linear-quadratic tests. Using a fresh approach, this book intends to unify and extend the popular, standard tests by linking them to tests based on models for data that can be… presented in contingency tables. Num Pages: 264 pages, 20 black & white illustrations, 68 black & white tables. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 156 x 20. Weight in Grams: 526. . 2000. 1st Edition. hardcover. . . . .
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 1st edition. 256 pages. 9.00x6.25x0.75 inches. In Stock.
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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EUR 381,89
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Condición: New. Nonparametric texts typically concentrate on location and linear-linear (correlation) tests, with a lesser focus on dispersion effects and linear-quadratic tests. Using a fresh approach, this book intends to unify and extend the popular, standard tests by linking them to tests based on models for data that can be… presented in contingency tables. Num Pages: 264 pages, 20 black & white illustrations, 68 black & white tables. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 156 x 20. Weight in Grams: 526. . 2000. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.
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EUR 432,91
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Hardcover. Condición: new. Hardcover. Most texts on nonparametric techniques concentrate on location and linear-linear (correlation) tests, with less emphasis on dispersion effects and linear-quadratic tests. Tests for higher moment effects are virtually ignored. Using a fresh approach, A Contingency Table Approach to Nonparamet…ric Testing unifies and extends the popular, standard tests by linking them to tests based on models for data that can be presented in contingency tables.This approach unifies popular nonparametric statistical inference and makes the traditional, most commonly performed nonparametric analyses much more complete and informative. It also makes tied data easily handled, and almost exact Monte Carlo p-values can be obtained. With data in contingency tables, one can then calculate a Pearson-type, chi-squared statistic and its components. For univariate data, the initial tests based on these components detect mean differences between treatments. For bivariate data, they detect correlations. This approach leads to tests that detect variance, skewness, and higher moment differences between treatments with univariate data, and higher bivariate moment differences with bivariate data.A lthough the methods advanced in this book have their genesis in traditional nonparametrics, incorporating the power of modern computers makes the approach more complete and more valid than previously possible.The authors' unified treatment and readable style make the subject easy to follow and the techniques easily implemented, whether you are a fledgling or a seasoned researcher. Nonparametric texts typically concentrate on location and linear-linear (correlation) tests, with a lesser focus on dispersion effects and linear-quadratic tests. Using a fresh approach, this book intends to unify and extend the popular, standard tests by linking them to tests based on models for data that can be presented in contingency tables. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.






