An Analysis Of Three Methods Of Rounding First Base
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Author |
: Wayne Sanford Kaufman |
Publisher |
: |
Total Pages |
: 64 |
Release |
: 1961 |
ISBN-10 |
: OCLC:53929643 |
ISBN-13 |
: |
Rating |
: 4/5 (43 Downloads) |
Synopsis A Comparison of Two Methods of Rounding First Base in Baseball by : Wayne Sanford Kaufman
Author |
: Donald E. Smith |
Publisher |
: |
Total Pages |
: 96 |
Release |
: 1970 |
ISBN-10 |
: OCLC:6950170 |
ISBN-13 |
: |
Rating |
: 4/5 (70 Downloads) |
Synopsis A Comparison of Six Methods of Rounding First Base in Baseball by : Donald E. Smith
Author |
: John Thomas Browder |
Publisher |
: |
Total Pages |
: 70 |
Release |
: 1959 |
ISBN-10 |
: OCLC:51229860 |
ISBN-13 |
: |
Rating |
: 4/5 (60 Downloads) |
Synopsis A Study to Compare Four Methods of Rounding First Base in Baseball by : John Thomas Browder
Author |
: James Francis DeCristoforo |
Publisher |
: |
Total Pages |
: 104 |
Release |
: 1963 |
ISBN-10 |
: OCLC:851576848 |
ISBN-13 |
: |
Rating |
: 4/5 (48 Downloads) |
Synopsis A Study to Determine the Fastest Method of Rounding First Base by : James Francis DeCristoforo
Abstract at end: 16 leaves.
Author |
: Regina Y. Liu |
Publisher |
: Springer |
Total Pages |
: 284 |
Release |
: 2016-09-20 |
ISBN-10 |
: 9783319390659 |
ISBN-13 |
: 3319390651 |
Rating |
: 4/5 (59 Downloads) |
Synopsis Robust Rank-Based and Nonparametric Methods by : Regina Y. Liu
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.
Author |
: John Kloke |
Publisher |
: CRC Press |
Total Pages |
: 291 |
Release |
: 2014-10-09 |
ISBN-10 |
: 9781439873434 |
ISBN-13 |
: 1439873437 |
Rating |
: 4/5 (34 Downloads) |
Synopsis Nonparametric Statistical Methods Using R by : John Kloke
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.
Author |
: |
Publisher |
: |
Total Pages |
: 1308 |
Release |
: 1969 |
ISBN-10 |
: UCAL:B4146859 |
ISBN-13 |
: |
Rating |
: 4/5 (59 Downloads) |
Synopsis Completed Research in Health, Physical Education, and Recreation by :
Author |
: William Harold Allen |
Publisher |
: |
Total Pages |
: 86 |
Release |
: 1976 |
ISBN-10 |
: OCLC:3850795 |
ISBN-13 |
: |
Rating |
: 4/5 (95 Downloads) |
Synopsis Study of an Introductory Method of Rounding First Base by : William Harold Allen
Author |
: Richard A. Chechile |
Publisher |
: MIT Press |
Total Pages |
: 473 |
Release |
: 2020-09-08 |
ISBN-10 |
: 9780262360708 |
ISBN-13 |
: 0262360705 |
Rating |
: 4/5 (08 Downloads) |
Synopsis Bayesian Statistics for Experimental Scientists by : Richard A. Chechile
An introduction to the Bayesian approach to statistical inference that demonstrates its superiority to orthodox frequentist statistical analysis. This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free methods. It covers not only well-developed methods for doing Bayesian statistics but also novel tools that enable Bayesian statistical analyses for cases that previously did not have a full Bayesian solution. The book's premise is that there are fundamental problems with orthodox frequentist statistical analyses that distort the scientific process. Side-by-side comparisons of Bayesian and frequentist methods illustrate the mismatch between the needs of experimental scientists in making inferences from data and the properties of the standard tools of classical statistics.
Author |
: |
Publisher |
: |
Total Pages |
: 586 |
Release |
: 1915 |
ISBN-10 |
: UCAL:C2638541 |
ISBN-13 |
: |
Rating |
: 4/5 (41 Downloads) |
Synopsis American Machinist by :