Abstract. We propose two families of scale-free exponentiality tests based on the recent characterization of exponentiality by Arnold and Villasenor. The test statistics are based on suitable functionals of U -empirical distribution functions. The family of integral statistics can be reduced to V -or U -statistics with relatively simple non-degenerate kernels. They are asymptotically normal and have reasonably high local Bahadur efficiency under common alternatives. This efficiency is compared with simulated powers of new tests. On the other hand, the Kolmogorov type tests demonstrate very low local Bahadur efficiency and rather moderate power for common alternatives, and can hardly be recommended to practitioners. We also explore the condi...
In this article we discuss uniformly most powerful unbiased tests for testing exponentiality against...
summary:A sub-exponential Weibull random variable may be expressed as a quotient of a unit exponenti...
Abstract. The Laplace transform ¢(t) = E[exp(-tX)] of a random variable with exponential density A ...
New goodness-of-fit tests for exponentiality based on a particular property of exponential law are ...
summary:We present new goodness-of-fit tests for the exponential distribution based on equidistribut...
We construct new tests of exponentiality based on Yanev-Chakraborty's characterization of exponenti...
We introduce new consistent and scale-free goodness-of-fit tests for the exponential distribution ba...
We introduce new goodness of fit tests for exponentiality by using a characterization based on norma...
This paper studies tests for exponentiality against the nonparametric classes M and LM of life distr...
This paper presents tests of exponentiality against HNBUE alternatives. The new class of test statis...
In Fortiana and Grané (2002) we study a scale-free statistic, based on Hoeffding's maximum correlat...
A new characterisation of the exponential distribution in a wide class of new better than used in pt...
Abstract: In this note we consider the performance of a new test of exponentiality against IFR alter...
Thesis (Ph.D. (Statistics))--North-West University, Potchefstroom Campus, 2007.The exponential densi...
Summary. We make use of the characterization that E(X − t|X> t) is constant over t ∈ [0,∞) if and...
In this article we discuss uniformly most powerful unbiased tests for testing exponentiality against...
summary:A sub-exponential Weibull random variable may be expressed as a quotient of a unit exponenti...
Abstract. The Laplace transform ¢(t) = E[exp(-tX)] of a random variable with exponential density A ...
New goodness-of-fit tests for exponentiality based on a particular property of exponential law are ...
summary:We present new goodness-of-fit tests for the exponential distribution based on equidistribut...
We construct new tests of exponentiality based on Yanev-Chakraborty's characterization of exponenti...
We introduce new consistent and scale-free goodness-of-fit tests for the exponential distribution ba...
We introduce new goodness of fit tests for exponentiality by using a characterization based on norma...
This paper studies tests for exponentiality against the nonparametric classes M and LM of life distr...
This paper presents tests of exponentiality against HNBUE alternatives. The new class of test statis...
In Fortiana and Grané (2002) we study a scale-free statistic, based on Hoeffding's maximum correlat...
A new characterisation of the exponential distribution in a wide class of new better than used in pt...
Abstract: In this note we consider the performance of a new test of exponentiality against IFR alter...
Thesis (Ph.D. (Statistics))--North-West University, Potchefstroom Campus, 2007.The exponential densi...
Summary. We make use of the characterization that E(X − t|X> t) is constant over t ∈ [0,∞) if and...
In this article we discuss uniformly most powerful unbiased tests for testing exponentiality against...
summary:A sub-exponential Weibull random variable may be expressed as a quotient of a unit exponenti...
Abstract. The Laplace transform ¢(t) = E[exp(-tX)] of a random variable with exponential density A ...