Add to ORKGThe integral of the squares modulus of the difference between the empirical characteristic function and the characteristic function of the hypothesized distribution is used by Wong and Sim (2000) to test for goodness of fit. A weighted version of Wong and Sim (2000) under ranked set sampling, a sampling technique introduced by McIntyre (1952), is examined. Simulations that show the ranked set sampling counterpart of Wong and Sim (2000) is more powerful. Key words: Goodness of fit test, empirical distribution function, logistic distribution, ranked set sampling, simple random sampling
Ranked set sampling (RSS), suggested by McIntyre(1952), is a popular sampling strategy when the meas...
Ranked set sampling (RSS), suggested by McIntyre(1952), is a popular sampling strategy when the meas...
grantor: University of TorontoThe statistical analysis of dichotomous outcome variables is...
The integral of the squares modulus of the difference between the empirical characteristic function ...
Modified forms of goodness of fit tests are presented for the logistic distribution using statistics...
In this paper a comparative study is made for the efficiency of an empirical distribution function g...
In this paper, different goodness of fit tests for the Rayleigh distribution are considered based on...
In this study, we consider different sampling designs of ranked set sampling (RSS) and give empirica...
The concept of ranked set sampling (RSS) was first introduce by McIntyre (1952) as a process of impr...
This paper deals with the problem of goodness-of-fit tests (GFTs) for the weighted generalized quasi...
In this paper, some test procedures for scale parameters of exponential and rectangular distribution...
In this paper, some test procedures for scale parameters of exponential and rectangular distribution...
Many works have been carried out to compare the efficiency of several goodness of fit procedures for...
Some procedures for testing hypotheses about the scale parameters of the uniform and exponential dis...
Ranked set sampling (RSS) (see, for example, McIntyre, 1952 and Takahasi and Wakimoto, 1968) can be ...
Ranked set sampling (RSS), suggested by McIntyre(1952), is a popular sampling strategy when the meas...
Ranked set sampling (RSS), suggested by McIntyre(1952), is a popular sampling strategy when the meas...
grantor: University of TorontoThe statistical analysis of dichotomous outcome variables is...
The integral of the squares modulus of the difference between the empirical characteristic function ...
Modified forms of goodness of fit tests are presented for the logistic distribution using statistics...
In this paper a comparative study is made for the efficiency of an empirical distribution function g...
In this paper, different goodness of fit tests for the Rayleigh distribution are considered based on...
In this study, we consider different sampling designs of ranked set sampling (RSS) and give empirica...
The concept of ranked set sampling (RSS) was first introduce by McIntyre (1952) as a process of impr...
This paper deals with the problem of goodness-of-fit tests (GFTs) for the weighted generalized quasi...
In this paper, some test procedures for scale parameters of exponential and rectangular distribution...
In this paper, some test procedures for scale parameters of exponential and rectangular distribution...
Many works have been carried out to compare the efficiency of several goodness of fit procedures for...
Some procedures for testing hypotheses about the scale parameters of the uniform and exponential dis...
Ranked set sampling (RSS) (see, for example, McIntyre, 1952 and Takahasi and Wakimoto, 1968) can be ...
Ranked set sampling (RSS), suggested by McIntyre(1952), is a popular sampling strategy when the meas...
Ranked set sampling (RSS), suggested by McIntyre(1952), is a popular sampling strategy when the meas...
grantor: University of TorontoThe statistical analysis of dichotomous outcome variables is...