Nonparametric statistical methods minimise the number of assumptions that need to be made about the distribution of data being analysed, unlike classical parametric methods. As such, they are an essential part o
This book is a practical introduction to statistical techniques called nonpara metric methods. Using examples, we explain assumptions and demonstrate procedures; theory is kept to a minimum. We show how basic problems are tackled and try to clear up common misapprehensions so as to help both ...
Applied Nonparametric Statistics in Reliability is focused on the use of modern statistical methods for the estimation of dependability measures of reliability systems that operate under different conditions. The scope of the book includes: smooth estimation of the reliability function and hazard rate of...
Nonparametric statisticsThis book covers the most commonly used nonparametric statistical techniques by emphasizing applications rather than theory. Exercises and examples are drawn from various disciplines including agriculture, biology, sociology, education, psychology, medicine, business, geology, and ...
The Journal of Modern Applied Statistical Methods (e-ISSN 2950-4600 & ISSN 1538-9472)is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psycho...
Advanced Statistical Methods（高级统计方法）Multivariate Analysis（多元分析）Bayesian Statistics（贝叶斯统计）Big Data Analytics（大数据分析）Statistical Consulting（统计咨询）Nonparametric Statistics（非参数统计）Survey Sampling（抽样调查）Stochastic Processes（随机过程）三、麦考瑞大学应用统计学Applied Statistics课程...
12.6 Further Considerations About Nonparametric Tests 306 12.7 Summary 306 12.8 Exercises 306 13 Simple Linear Regression 311 13.1 Concept of Simple Linear Regression 311 13.2 Establishment of Regression Model 314 13.2.1 Least Squares Estimation of a Regression Coefficient 314 13.2.2 Basic Properties of...
Applied Nonparametric Regression brings together in one place the techniques for regression curve smoothing involving more than one variable. The computer and the development of interactive graphics programs has made curve estimation popular. This volume focuses on the applications and practical problems of...
Hollander M, Wolfe DA, Chicken E (1973) Nonparametric Statistical Methods. Wiley, New York Google Scholar Jacob C, Frangoudes K, Mesnildrey L, Lesueur M, Spinec F, Folliard G, Pien S, Rebours C, Meland M, Gallastegi I, Inunziaga Urizarbarrena A, Marques A, Atack T, Dunningham...
I have been an active participant in the Astro program at SAMSI since the opening workshop began in August, 2016. Since then, Sujit Ghosh, Angie Wolfgang, and I have been working on a project, using a nonparametric method for estimating the mass and radius relationships ofexoplanets. Previou...