Definition of Nonparametric

1. Adjective. Not involving an estimation of the parameters of a statistic.

Category relationships: Statistics
Partainyms: Nonparametric Statistic



Definition of Nonparametric

1. Adjective. (mathematics) Having a flexible number or nature of parameters which are not fixed in advance. ¹

2. Adjective. (statistics) Free of assumptions about the frequency distributions of the variables being assessed. ¹

¹ Source: wiktionary.com

Definition of Nonparametric

1. [adj]

Nonparametric Pictures

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Lexicographical Neighbors of Nonparametric

nonparabolic
nonparabolicity
nonparacompact
nonparadigmatic
nonparadox
nonparadoxes
nonparadoxical
nonparaffin
nonparallel
nonparallelism
nonparallelizable
nonparallelized
nonparalyzed
nonparamagnetic
nonparameterized
nonparametric (current term)
nonparametric statistic
nonparametric statistics
nonparametrically
nonparanoid
nonparanoids
nonparanormal
nonparasite
nonparasites
nonparasitic
nonparasitized
nonparasitological
nonparaxial
nonparaxiality
nonpareil

Literary usage of Nonparametric

Below you will find example usage of this term as found in modern and/or classical literature:

1. Multivariate Analysis and Its Applications by Theodore Wilbur Anderson, Kʻai-tʻai Fang, Ingram Olkin (1994)
"One approach to nonparametric regression is local regression, specifically the ... Many multivariate data sets are better fitted by nonparametric regression ..."

2. Adaptive Statistical Procedures and Related Topics: Proceedings of a by Herbert Robbins, John Van Ryzin (1986)
"The old Idea is the notion of fully nonparametric empirical Bayes estimation, ... Empirical Bayes, nonparametric estimation, projection pursuit, ..."

3. Selected Proceedings of the Symposium on Estimating Functions by Ishwar V. Basawa, V. P. Godambe, Robert Lee Taylor (1997)
"Their use in nonparametric and semiparametric problems is less developed. ... The first problem is ordinary nonparametric local polynomial regression. ..."

4. Bayesian Robustness: Proceedings of the Workshop on Bayesian Robustness, May by James O. Berger (1996)
"In order to avoid strict assumptions on the error terms, a possible solution can be found in the nonparametric approach; in the Bayesian framework, ..."

5. Change-Point Problems by Edward G. Carlstein, Hans-Georg Müller, David Siegmund (1994)
"The second idea is that the nonparametric family of Kolmogorov- Smirnov ... In this report we are dealing with nonparametric change-point detection methods. ..."

6. Stochastic Inequalities by Moshe Shaked, Yung Liang Tong (1992)
"The parameter H(F) = P(Xi < X2;Xi < X3 + X4 - X5) was first studied by Hollander (1966), also in the context of nonparametric techniques for the two-way ..."

7. L1-statistical Procedures and Related Topics by Yadolah Dodge (1997)
"Statistical Procedures and Related Topics IMS Lecture Notes - Monograph Scries (1997) Volume 31 nonparametric bounds for the probability of future prices ..."

8. State of the Art in Probability and Statistics: Festschrift for Willem R by Mathisca de Gunst, Chris Klaassen, A. W. van der Vaart (2001)
"They include ways of improving statistical performance by data sharpening, ie data pre-processing before substitution into a conventional nonparametric ..."

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