University of Eskisehir Osmangazi Statistics Blogspot

Regression Coeff. Simulation You can see how to simulate regression coeff. by clicking this link : Regression Coeff. Simulation

Regression Outliers An outlier is an extreme observation. Typically points further than, say, three or four standard  deviations from the mean are considered as “outliers”. How to detect outliers and see more:  Regression Outliers

Pseudo-R2 Measures for Common Limited Dependent Variable Models  This paper reviews some of the many R2-type measures (or Pseudo- R2's) that have been proposed for estimated limited dependent variable models. A limited dependent variable model is a model where the observed dependent variable is constrained, such as in the binary model where it must be either zero or one. See more: Pseudo R-Square Measures for Common Limited Dependent Variable Models

Fitting Fitting

History of Probability What is Probability? In essence:   Mathematical modeling of random events and phenomena. It is fundamentally different from modeling deterministic events and functions, which constitutes the traditional study of Mathematics.   However, the study of probability uses concepts and notions taken straight from Mathematics; in fact Measure Theory and Potential theory are expressions of abstract mathematics generalizing  the theory of Probability.   See more:  History of Probability

Table Value Table Value

t Distribution t Distribution

Gamma Distribution Gamma Distribution

Five Steps For Every Statistical Hypothesis Test Five Steps For Every Statistical Hypothesis Test

M.L.E. Of Linear Regression M.L.E. Of Linear Regression

Principal Component Analysis Principal Component Analysis

Chi Square Random Number Generator Chi Square Random Number Generator

Differences Between PCA and FA Differences Between PCA and FA

Samples from Normal Samples from Normal

Empirical CDF Empirical CDF

Hosmer-Lemeshow Statistics Hosmer-Lemeshow Statistics

Pie Plot Pie Plot

Normal Plot Normal Plot

Statistical Significance

Bias... Bias...  

A Quote... A Quote...

P-Value This statistics page presents material relevant to proper interpretation and understanding of p-values. Here is Anderson’s issue about p-values: http://warnercnr.colostate.edu/~anderson/PDF_files/TESTING.pdf This issue’s abstract says: Here is a JAVA applet that demonstrates that common interpretations of p-values can be very misleading; an explanation of the applet is available as a  pdf file. Java Applet:  http://www.stat.duke.edu/~berger/applet2/pvalue.html Pdf file: http://www.stat.duke.edu/~berger/applet2/applet.pdf

Normal Distribution... Normal Distribution...  

Matrix Multiply... Matrix Multiply...

Area Under The Normal Curve... Area Under The Normal Curve...

Area Under The Normal Distribution... Area Under The Normal Distribution...

Least Squares and Maximum Likelihood for Regression...

Maximum Likelihood...

Are Women Really More Talkative Than Men?...

Geom etry of Principal Components ...

Geometry of Factor Rotation...

Makes a linear fit to a data set (using y =a+bx)... Linear Fit

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