JSTOR Daily

Initial Data Truncation for Univariate Output of Discrete-Event Simulations Using the Kalman Filter

Data truncation is a commonly accepted method of dealing with initialization bias in discrete-event simulation. An algorithm for determining the appropriate initial-data truncation point for ...
Simon Fraser University

Example 3: Computing Robust Estimators

Because each value of population is unique, the mode is missing. Both the trimmed and Winsorized means are smaller than the arithmetic mean. This may be due to the positive skewness of the data. PROC ...
JSTOR Daily

Bivariate Current Status Data with Univariate Monitoring Times

For bivariate current status data with univariate monitoring times, the identifiable part of the joint distribution is three univariate cumulative distribution functions, namely the two marginal ...
Simon Fraser University

Example 7: Creating Schematic Plots and an Output Data Set with BY Groups

The BY statement requests separate reports for each BY group. The first report contains univariate statistics for the 1980 Census, Northeast region. Using both the BY statement and a PLOTS option in ...
insideHPC

Introduction to Statistical Analysis and Outlier Detection Methods

Our friends over at Noah Data have written a research style paper, Introduction to Statistical Analysis and Outlier Detection Methods, that discusses how statistical data can generally be classified ...