scholarly journals Statistical notes for clinical researchers: Nonparametric statistical methods: 2. Nonparametric methods for comparing three or more groups and repeated measures

2014 ◽  
Vol 39 (4) ◽  
pp. 329 ◽  
Author(s):  
Hae-Young Kim
Keyword(s):  
Statistical Methods ◽  
Repeated Measures ◽  
Nonparametric Methods ◽  
Nonparametric Statistical Methods ◽  
Nonparametric Statistical

scholarly journals 999 STATISTICAL ANALYSIS OF DISEASE REACTION DATA USING NONPARAMETRIC METHODS

HortScience ◽  
1994 ◽  
Vol 29 (5) ◽  
pp. 572e-572 ◽  
Author(s):  
Kent M. Eskridge
Keyword(s):  
Statistical Analysis ◽  
Statistical Methods ◽  
Analysis Of Variance ◽  
Plant Disease ◽  
Nonparametric Methods ◽  
Classical Analysis ◽  
Disease Reaction ◽  
Reaction Data ◽  
Nonparametric Statistical Methods ◽  
Nonparametric Statistical

Breeders need powerful and simply understood statistical methods when analyzing disease reaction data. However, many disease reaction experiments result in data which do not adhere to the classical analysis of variance (ANOVA) assumptions of normality, homogeneity variance and a correctly specified model. Nonparametric statistical methods which require fewer assumptions than classical ANOVA, are applied to data from several disease reaction experiments. It is concluded that nonparametric methods are easily understood, can be productively applied to plant disease experiments and many times result in improved chances for detecting differences between treatments.

scholarly journals Nonparametric statistical methods and the pricing of derivative securities

2002 ◽  
Vol 6 (1) ◽  
pp. 1-22
Author(s):  
Rüdiger Kiesel
Keyword(s):  
Nonparametric Methods ◽  
Derivative Securities ◽  
Short Introduction ◽  
Financial Options ◽  
Consistent Model ◽  
Nonparametric Statistical Methods ◽  
Risk Neutral Probabilities ◽  
Pricing Theory ◽  
Option Pricing Theory ◽  
Nonparametric Statistical

In this review paper we summarise several nonparametric methods recently applied to the pricing of financial options. After a short introduction to martingale-based option pricing theory, we focus on two possible fields of application for nonparametric methods: the estimation of risk-neutral probabilities and the estimation of the dynamics of the underlying instruments in order to construct an internally consistent model.

scholarly journals Comparing Parametric and Nonparametric Statistical Methods for Studying the Velocity Distributions of Population I Stars

1993 ◽  
Vol 156 ◽  
pp. 265-269
Author(s):  
F. Arenou ◽  
M. L. Bougeard
Keyword(s):  
Maximum Likelihood ◽  
Statistical Methods ◽  
Clustering Techniques ◽  
Nonparametric Statistical Methods ◽  
Nonparametric Statistical

This Paper investigates population I star samples from the viewpoint of the velocity distributions, each being viewed as a mixture. To obtain information on the class centers, clustering techniques are first applied. Secondly, we use a parametric maximum likelihood formulation that we solve by Redner-Walker's E.M. algorithm. The obtained results are compared and discussed from an astrophysical viewpoint.

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