To compare two different hypothesis testing techniques, researchers use the following heuristic idea: for each technique, they form a curve describing how the probabilities of type I and type II errors are related for this technique, and then compare areas under the resulting curves. In this paper, we provide a justification for this heuristic idea
BACKGROUND: A number of recent papers have proposed methods to calculate confidence intervals and p ...
It has long been recognised that most standard point estimators lean heavily on untestable assumptio...
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...
Abstract. Curve detection is viewed as a process of hypothesis generation and hypothesis testing. Of...
Hypothesis testing concerns the way we use evidence to examine the validity of ideas about the way t...
<p>For each combination of coverage and purity, results are shown for trees with node counts from th...
<p>Sample size curves: Hypothesis testing method (Formula 3) at 80% power and α of 0.05 (two-tailed)...
Mathematics can be analyzed in different ways and each method supports the other with the same resul...
Hypothesis is usually considered as the principal instrument in research. It plays a major role in r...
In the 1920s, Ronald Fisher developed the theory behind the p value and Jerzy Neyman and Egon Pearso...
Abstract Hypothesis testing is the standard approach used in scientific work, but it is the wrong me...
We present the various methods of hypothesis testing that one typically encounters in a mathematical...
A solution to the problem of transferring the prior preferences about the paraIlleters of interest t...
An important area of statistical inference involves using observed data to decide between competing ...
The statistical interpretation of data is crucial to research techniques and scientific studies. To ...
BACKGROUND: A number of recent papers have proposed methods to calculate confidence intervals and p ...
It has long been recognised that most standard point estimators lean heavily on untestable assumptio...
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...
Abstract. Curve detection is viewed as a process of hypothesis generation and hypothesis testing. Of...
Hypothesis testing concerns the way we use evidence to examine the validity of ideas about the way t...
<p>For each combination of coverage and purity, results are shown for trees with node counts from th...
<p>Sample size curves: Hypothesis testing method (Formula 3) at 80% power and α of 0.05 (two-tailed)...
Mathematics can be analyzed in different ways and each method supports the other with the same resul...
Hypothesis is usually considered as the principal instrument in research. It plays a major role in r...
In the 1920s, Ronald Fisher developed the theory behind the p value and Jerzy Neyman and Egon Pearso...
Abstract Hypothesis testing is the standard approach used in scientific work, but it is the wrong me...
We present the various methods of hypothesis testing that one typically encounters in a mathematical...
A solution to the problem of transferring the prior preferences about the paraIlleters of interest t...
An important area of statistical inference involves using observed data to decide between competing ...
The statistical interpretation of data is crucial to research techniques and scientific studies. To ...
BACKGROUND: A number of recent papers have proposed methods to calculate confidence intervals and p ...
It has long been recognised that most standard point estimators lean heavily on untestable assumptio...
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...