An Analysis of Three Methods of Rounding First Base
Title | An Analysis of Three Methods of Rounding First Base PDF eBook |
Author | Jimmy D. Orr |
Publisher | |
Pages | 92 |
Release | 1972 |
Genre | |
ISBN |
A Comparison of Two Methods of Rounding First Base in Baseball
Title | A Comparison of Two Methods of Rounding First Base in Baseball PDF eBook |
Author | Wayne Sanford Kaufman |
Publisher | |
Pages | 64 |
Release | 1961 |
Genre | Baseball |
ISBN |
A Comparison of Six Methods of Rounding First Base in Baseball
Title | A Comparison of Six Methods of Rounding First Base in Baseball PDF eBook |
Author | Donald E. Smith |
Publisher | |
Pages | 96 |
Release | 1970 |
Genre | Baseball |
ISBN |
A Study to Compare Four Methods of Rounding First Base in Baseball
Title | A Study to Compare Four Methods of Rounding First Base in Baseball PDF eBook |
Author | John Thomas Browder |
Publisher | |
Pages | 70 |
Release | 1959 |
Genre | Baseball |
ISBN |
A Study to Determine the Fastest Method of Rounding First Base
Title | A Study to Determine the Fastest Method of Rounding First Base PDF eBook |
Author | James Francis DeCristoforo |
Publisher | |
Pages | 104 |
Release | 1963 |
Genre | Baseball |
ISBN |
Abstract at end: 16 leaves.
Robust Rank-Based and Nonparametric Methods
Title | Robust Rank-Based and Nonparametric Methods PDF eBook |
Author | Regina Y. Liu |
Publisher | Springer |
Pages | 284 |
Release | 2016-09-20 |
Genre | Mathematics |
ISBN | 3319390651 |
The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections, and develop efficient algorithms for their computation. The papers cover the scope of the area, including robust nonparametric rank-based procedures through Bayesian and big data rank-based analyses. Areas of application include biostatistics and spatial areas. Over the last 30 years, robust rank-based and nonparametric methods have developed considerably. These procedures generalize traditional Wilcoxon-type methods for one- and two-sample location problems. Research into these procedures has culminated in complete analyses for many of the models used in practice including linear, generalized linear, mixed, and nonlinear models. Settings are both multivariate and univariate. With the development of R packages in these areas, computation of these procedures is easily shared with readers and implemented. This book is developed from the International Conference on Robust Rank-Based and Nonparametric Methods, held at Western Michigan University in April 2015.
Nonparametric Statistical Methods Using R
Title | Nonparametric Statistical Methods Using R PDF eBook |
Author | John Kloke |
Publisher | CRC Press |
Pages | 291 |
Release | 2014-10-09 |
Genre | Mathematics |
ISBN | 1439873437 |
A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation. They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm. The book first gives an overview of the R language and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and two-sample problems, procedures for regression models, computation for general fixed-effects ANOVA and ANCOVA models, and time-to-event analyses. The last two chapters cover more advanced material, including high breakdown fits for general regression models and rank-based inference for cluster correlated data. The book can be used as a primary text or supplement in a course on applied nonparametric or robust procedures and as a reference for researchers who need to implement nonparametric and rank-based methods in practice. Through numerous examples, it shows readers how to apply these methods using R.