Practical Nonparametric Statistics
Wiley, 1980 M09 17 - 512 páginas
A self-contained introduction to the theory and methods of non-parametric statistics. Presents a review of probability theory and statistical inference and covers tests based on binomial and multinomial distributions and methods based on ranks and empirical distributions. Includes a thorough collection of statistics tables, hundreds of problems and references, detailed numerical examples for each procedure, and an instant consultant chart to guide the student to the appropriate procedure.
SOME TESTS BASED ON
Derechos de autor
Otras 6 secciones no mostradas
Otras ediciones - Ver todas
accepted alternative American Statistical Association applied approximation arrangements assigned assume assumption average binomial block called chi-square coefficient column compared computed confidence interval considered consist contingency table correlation corresponds critical region defined Definition degrees of freedom denoted dependence described discussed distribution function equal Equation estimate event exact Example exceeds experiment given greater H₁ identical independent Journal largest least less Mathematical Statistics mean measurement median method nonparametric normal normal distribution Note null hypothesis observations obtained occurs pairs parameters points population possible preferred presented probability probability function problem procedure quantile random sample random variable ranks regression rejected represent sample space scale scores selected Show significance situations smallest T₁ T₂ Table A1 test statistic treatment true usually values variance X₁