Permutation Methods
A Distance Function Approach
Seiten
2010
|
Softcover reprint of hardcover 2nd ed. 2007
Springer-Verlag New York Inc.
978-1-4419-2416-2 (ISBN)
Springer-Verlag New York Inc.
978-1-4419-2416-2 (ISBN)
This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. This updated version places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions.
Most commonly-used parametric and permutation statistical tests, such as the matched-pairs t test and analysis of variance, are based on non-metric squared distance functions that have very poor robustness characteristics. This second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses. In addition to permutation techniques described in the first edition, this second edition also contains various new permutation statistical methods and studies that include resampling multiple contingency table analyses, analysis concerns involving log-linear models with small samples, an exact discrete analog of Fisher’s continuous method for combining P-values that arise from small data sets, multiple dichotomous response analyses, problems regarding Fisher’s Z transformation for correlation analyses, and multivariate similarity comparisons between corresponding multiple categories of two samples.
Most commonly-used parametric and permutation statistical tests, such as the matched-pairs t test and analysis of variance, are based on non-metric squared distance functions that have very poor robustness characteristics. This second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses. In addition to permutation techniques described in the first edition, this second edition also contains various new permutation statistical methods and studies that include resampling multiple contingency table analyses, analysis concerns involving log-linear models with small samples, an exact discrete analog of Fisher’s continuous method for combining P-values that arise from small data sets, multiple dichotomous response analyses, problems regarding Fisher’s Z transformation for correlation analyses, and multivariate similarity comparisons between corresponding multiple categories of two samples.
Description of MRPP.- Additional MRPP Applications.- Description of MRBP.- Regression Analysis, Prediction, and Agreement.- Goodness-of-Fit Tests.- Contingency Tables.- Multisample Homogeneity Tests.- Selected Permutation Studies.
| Erscheint lt. Verlag | 19.11.2010 |
|---|---|
| Reihe/Serie | Springer Series in Statistics |
| Zusatzinfo | XVIII, 446 p. |
| Verlagsort | New York, NY |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Geisteswissenschaften ► Psychologie ► Test in der Psychologie |
| Informatik ► Datenbanken ► Data Warehouse / Data Mining | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Studium ► Querschnittsbereiche ► Prävention / Gesundheitsförderung | |
| ISBN-10 | 1-4419-2416-7 / 1441924167 |
| ISBN-13 | 978-1-4419-2416-2 / 9781441924162 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Daten importieren, bereinigen, umformen und visualisieren
Buch | Softcover (2024)
O'Reilly (Verlag)
CHF 76,85
eine Einführung mit Python, Scikit-Learn und TensorFlow
Buch | Softcover (2024)
O'Reilly (Verlag)
CHF 27,85
