ISBN: 9781584881612 - a contingency table approach to nonparametric testing (15 risultati)

Hardcover. Condizione: 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 shipping 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.…

Condizione: 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! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Condizione: New.

Hardcover. Condizione: 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 Nonparametric 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.…

Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: 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. . . . .…

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: 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. .

Hardcover. Condizione: Brand New. 1st edition. 256 pages. 9.00x6.25x0.75 inches. In Stock.

Condizione: 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.…

Buch. Condizione: Neu. Neuware - 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 Nonparametric 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.Although 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.…

Hardcover. Condizione: 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 Nonparametric 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.…