Nonparametric statistical inference

Nonparametric Statistical Inference

📁 Nonparametric Statistical Inference

✍ Jean Dickinson Gibbons, Subhabrata Chakraborti 📂 Library 📅 2003 🏛 Marcel Dekker 🌐 English

Nonparametric Statistical Inference, Fif

📁 Nonparametric Statistical Inference, Fifth Edition

✍ Chakraborti, Subhabrata; Gibbons, Jean Dickinson 📂 Library 📅 2010 🏛 CRC Press 🌐 English

Bootstrapping: A Nonparametric Approach

📁 Bootstrapping: A Nonparametric Approach to Statistical Inference

✍ Mooney C.Z., Duval R.D. 📂 Library 📅 1993 🏛 Sage 🌐 English

Bootstrapping, a computational nonparametric technique for "re-sampling," enables researchers to draw a conclusion about the characteristics of a population strictly from the existing sample rather than by making parametric assumptions about the estimator. Using real data examples from per capita pe

Nonparametric Statistical Inference (Sta

📁 Nonparametric Statistical Inference (Statistics: A Series of Textbooks and Monographs)

✍ Jean Dickinson Gibbons, Subhabrata Chakraborti 📂 Library 📅 1992 🏛 CRC Press 🌐 English

Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences. The book presen

Nonparametric Statistical Inference, Fou

📁 Nonparametric Statistical Inference, Fourth Edition (Statistics: a Series of Textbooks and Monographs)

✍ Jean Dickinson Gibbons, Subhabrata Chakraborti 📂 Library 📅 2003 🌐 English

Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences. The book presen

Nonparametric Inference

📁 Nonparametric Inference

✍ Z. Govindarajulu 📂 Library 📅 2007 🌐 English

This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and serves as an easily accessible source for researchers in the area. With the exception of some sections requiring familiarity with measure theory, readers with an