Add to ORKGThis paper is concerned with the use of power properties of tests in econometric applications. Power radius and inverse power functions are defined. These functions are designed to yield summary measures of power that facilitate the interpretation of test results in practice. Simple approximations are introduced for the power radius and inverse power functions of Wald, likelihood ration, Lagrange multiplier, and Hausman tests. These approximations readily convey the general qualitative features of the power of a test. Examples are provided to illustrate their usefulness in interpreting test results
This paper describes how to write Stata programs to estimate the power of virtually any statistical ...
The assumption of normality in general and homogeneity of variance for two or more populations is re...
In a secondary categorical data analysis of complex sample data, situations often arises when the fu...
This paper is concerned with the use of power properties of tests in econometric applications. Power...
Noted for its accessible approach, this text applies the latest approaches of power analysis to both...
Statistical power is an important detail to consider in the design phase of any experiment. This pap...
In this paper the elementary statistical problem of testing the equality of several Bernoulli probab...
Estimates of statistical power are widely used in applied research for purposes such as sample size ...
In this paper, we discuss the importance of teaching power considerations in statistical hypothesis ...
This article provides a simple explanation of how power analysis can help us determine how large a s...
This thesis examines the issues of analysis of statistical power of a test. It introduces a subject ...
Determining appropriate sample size is often a difficult decision in the process of developing quant...
We present an overview of the use of power calculations in experimental economics as well as other d...
This paper discusses the need and importance of statistical power analysis in field-based empirical ...
Researchers often face the problem of accurately calculating the power for tests of differences betw...
This paper describes how to write Stata programs to estimate the power of virtually any statistical ...
The assumption of normality in general and homogeneity of variance for two or more populations is re...
In a secondary categorical data analysis of complex sample data, situations often arises when the fu...
This paper is concerned with the use of power properties of tests in econometric applications. Power...
Noted for its accessible approach, this text applies the latest approaches of power analysis to both...
Statistical power is an important detail to consider in the design phase of any experiment. This pap...
In this paper the elementary statistical problem of testing the equality of several Bernoulli probab...
Estimates of statistical power are widely used in applied research for purposes such as sample size ...
In this paper, we discuss the importance of teaching power considerations in statistical hypothesis ...
This article provides a simple explanation of how power analysis can help us determine how large a s...
This thesis examines the issues of analysis of statistical power of a test. It introduces a subject ...
Determining appropriate sample size is often a difficult decision in the process of developing quant...
We present an overview of the use of power calculations in experimental economics as well as other d...
This paper discusses the need and importance of statistical power analysis in field-based empirical ...
Researchers often face the problem of accurately calculating the power for tests of differences betw...
This paper describes how to write Stata programs to estimate the power of virtually any statistical ...
The assumption of normality in general and homogeneity of variance for two or more populations is re...
In a secondary categorical data analysis of complex sample data, situations often arises when the fu...