Informations
We wish to present You basic methods which we apply in our analyses. It is impossible to list all the methods at one place, that's why the list presented below is "open". We present here only the basic methods (most popular in Statistics, BioStatistics and Medicine).
1. Descriptive Statistics:
- organization of data, graphs
- measures of central tendency, dispersion, position
2. Probability:
- discrete random variables
- continuous random variables (normal distribution)
3. Statistical interference:
- The Mann-Whitney U test
- The runs test
- The Kolmogorov - Smirnov Z
- The Kruskal - Wallis test
- The median test
- Nonparametric Correlation coefficients (Spearman's Rho, Kendall tau-b, Gamma)
1. Descriptive Statistics:
- organization of data, graphs
- measures of central tendency, dispersion, position
2. Probability:
- discrete random variables
- continuous random variables (normal distribution)
3. Statistical interference:
- Estimating a population mean, proportion, decision making concerning a population proportion and mean.
- STUDENT'S "t"
- Chi-Square
- Interference concerning two population parameters
- Regression and correlation (linear correlation coefficient, Least Squares Regression line, nonlinear regression)
- Analysis of Variance (ANOVA, MANOVA)
- Analysis of categorical data (tests for goodness of fit)
- Nonparametric Statistics
- - The sign test
- The Mann-Whitney U test
- The runs test
- The Kolmogorov - Smirnov Z
- The Kruskal - Wallis test
- The median test
- Nonparametric Correlation coefficients (Spearman's Rho, Kendall tau-b, Gamma)
- Regression: linear and curve estimation.
- Logit Linear Analysis
- Classify: Discriminant analysis, k-means cluster, hierarchical cluster
- Decision trees
- Factor Analysis
- Multidimensional Scaling
- Reliability Analysis (alpha model)
- Quality control
- Econometrics, mathematical models
- Prediction (forecasting) models Holt, Winters, Brown, Fourier models.