Globally Robust Inference
... The robust approach to data analysis uses models that do not completely specify the distribution of the data, but rather assume that this distribution belongs to a certain neighborhood of a parametric model. Consequently, robust inference should be valid under all the distributions in these neighbor ...
... The robust approach to data analysis uses models that do not completely specify the distribution of the data, but rather assume that this distribution belongs to a certain neighborhood of a parametric model. Consequently, robust inference should be valid under all the distributions in these neighbor ...
Basic Statistics for Research
... – Water samples from a point source of pollution using a transect (set away from the source to open sea) with fixed sampling intervals (e.g. 1, 5, 10, 20, 50, 100, 500, 1000, 2000 m). – Sediment samples from the high (2 m of Chart Datum), mid (1 m ...
... – Water samples from a point source of pollution using a transect (set away from the source to open sea) with fixed sampling intervals (e.g. 1, 5, 10, 20, 50, 100, 500, 1000, 2000 m). – Sediment samples from the high (2 m of Chart Datum), mid (1 m ...
Comparing Two Means
... students to take part in these activities for an eight-week period. A control classroom of 23 third-graders follows the same curriculum without the activities. At the end of the eight weeks, all students are given a Degree of Reading Power (DRP) test, which measures the aspects of reading ability th ...
... students to take part in these activities for an eight-week period. A control classroom of 23 third-graders follows the same curriculum without the activities. At the end of the eight weeks, all students are given a Degree of Reading Power (DRP) test, which measures the aspects of reading ability th ...
chapter14
... produce more information than the basic output. Use only what you need. For a 95% confidence interval for β b ± t*SEb ...
... produce more information than the basic output. Use only what you need. For a 95% confidence interval for β b ± t*SEb ...
A Two-Stage Bayesian Model for Predicting Winners in Major
... time is based on three ratios: (1) the ratio of the winning percentages between the two teams, (2) the ratio of the overall team batting averages and (3) the ratio of the ERAs between the two starting pitchers. We note that on the day of a MLB game, all three ratios are typically available. Later we ...
... time is based on three ratios: (1) the ratio of the winning percentages between the two teams, (2) the ratio of the overall team batting averages and (3) the ratio of the ERAs between the two starting pitchers. We note that on the day of a MLB game, all three ratios are typically available. Later we ...
