|
|
|
||
Last update: T_KPMS (27.04.2015)
|
|
||
Last update: T_KPMS (27.04.2015)
Statistical methods for analyzing categorical data are presented. The identification of model is shown for one-dimensional and multidimensional data. |
|
||
Last update: T_KPMS (27.04.2015)
Simonoff J. S. (2003): Analyzing Categorical Data. Springer, New York. |
|
||
Last update: T_KPMS (27.04.2015)
Lecture. |
|
||
Last update: T_KPMS (27.04.2015)
Binomial distribution: confidence intervals, testing hypotheses, calculating sample size, exact inference, testing homogeneity, rule of three.
Poisson distribution: asymptotic inference, exact inference.
Multinomial distribution: power divergencies, disparity, Benford’s law, decomposition of Pearson statistic.
Over-dispersed and under-dispersed distributions.
Contingency tables: tests of independence, measures of dependence, iterative proportional fitting procedure, median polish procedure, correspondence analysis, tables with ordered categories, paired data, identification of model.
|