Yes, Chis squared test are among the most common nonparametric statistics tests.
Nonparametric tests are sometimes called distribution free statistics because they do not require that the data fit a normal distribution. Nonparametric tests require less restrictive assumptions about the data than parametric restrictions. We can perform the analysis of categorical and rank data using nonparametric tests.
1. A nonparametric statistic has no inference 2. A nonparametric statistic has no standard error 3. A nonparametric statistic is an element in a base population (universe of possibilities) where every possible event in the population is known and can be characterized * * * * * That is utter rubbish and a totally irresponsible answer. In parametric statistics, the variable of interest is distributed according to some distribution that is determined by a small number of parameters. In non-parametric statistics there is no underlying parametric distribution. With non-parametric data you can compare between two (or more) possible distributions (goodness-of-fit), test for correlation between variables. Some test, such as the Student's t, chi-square are applicable for parametric as well as non-parametric statistics. I have, therefore, no idea where the previous answerer got his/her information from!
A nonparametric classifier is a kind of classifier that can work with unknown density function of the classes of a dataset.
statistics is used in all aspect of life. so which ever one human finds himself it is alwayz beter to give it a name examples are agricultural statistics, insurance statistics, actuarial statistics,educational statistics,financial statistics etc
Gregory W. Corder has written: 'Nonparametric statistics for non-statisticians' -- subject(s): Nonparametric statistics
Yes, Chis squared test are among the most common nonparametric statistics tests.
Sidney Siegel has written: 'Nonparametric statistics for the behavorial sciences.' 'Bargaining and group decision making' 'Nonparametric ststistics for the behavioral sciences'
Richard A. Tapia has written: 'Nonparametric probability density estimation' -- subject(s): Distribution (Probability theory), Estimation theory, Nonparametric statistics
Hulin Wu has written: 'Nonparametric regression methods for longitudinal data analysis' -- subject(s): Longitudinal method, Mathematical models, Nonparametric statistics
David Sheskin has written: 'Handbook of parametric and nonparametric statistical procedures' -- subject(s): Mathematical statistics, Handbooks, manuals 'Handbook of parametric and nonparametric statistical procedures' -- subject(s): Mathematical statistics, Handbooks, manuals, etc, Handbooks, manuals
James J. Higgins has written: 'Introduction to Modern Nonparametric Statistics'
Moti Lal Tiku has written: 'Robust inference' -- subject(s): Estimation theory, Nonparametric statistics, Robust statistics
Nonparametric tests are sometimes called distribution free statistics because they do not require that the data fit a normal distribution. Nonparametric tests require less restrictive assumptions about the data than parametric restrictions. We can perform the analysis of categorical and rank data using nonparametric tests.
Pranab Kumar Sen has written: 'Nonparametric estimation of location parameter after a preliminary test on regression in the multivariate case' -- subject(s): Nonparametric statistics, Asymptotic efficiencies (Statistics), Multivariate analysis, Estimation theory 'From finite sample to asymptotic methods in statistics' -- subject(s): Probabilities, Asymptotic expansions, Estimation theory, Mathematical statistics ., Mathematical statistics 'Theory and Applications of Sequential Nonparametrics (CBMS-NSF Regional Conference Series in Applied Mathematics)' 'Robust Statistical Procedures' 'Theory and applications of sequential nonparametrics' -- subject(s): Nonparametric statistics, Sequential analysis 'Large sample methods in statistics' -- subject(s): Stochastic processes, Asymptotic distribution (Probability theory)
Shiv K Sharma is an Indian statistician and a former professor of statistics. He is known for his contributions to the field of statistics, particularly in the area of nonparametric methods and stochastic processes.
A. R. Pagan has written: 'Nonparametric econometrics' -- subject(s): Mathematical statistics, Econometrics, Statistical methods, Economics