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20192023
most citedSome multivariate goodness of fit tests based on data depth

5 citations · 8 across the 17 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

math.ST2021

Estimation of Order Restricted Location/Scale Parameters of a General Bivariate Distribution Under General Loss function: Some Unified results

Naresh Garg, Neeraj Misra

We consider component-wise equivariant estimation of order restricted location/scale parameters of a general bivariate distribution under quite general conditions on underlying dis…

math.ST2021

Equivariant Estimation of the Selected Guarantee Time

Masihuddin, Neeraj Misra

Consider two independent exponential populations having different unknown location parameters and a common unknown scale parameter. Call the population associated with the larger l…

math.ST2021★ 1 cited

U-statistic based on overlapping sample spacings

Rahul Singh, Neeraj Misra

For testing goodness of fit, we consider a class of U-statistics of overlapping spacings of order two, and investigate their asymptotic properties. The standard U-statistic theory…

math.ST2021★ 1 cited

Componentwise Equivariant Estimation of Order Restricted Location and Scale Parameters In Bivariate Models: A Unified Study

Naresh Garg, Neeraj Misra

The problem of estimating location (scale) parameters and of two distributions when the ordering between them is known apriori (say, ) has been extensively…

math.ST2021★ 5 cited

Some multivariate goodness of fit tests based on data depth

Rahul Singh, Subhajit Dutta, Neeraj Misra

Using the fact that some depth functions characterize certain family of distribution functions, and under some mild conditions, distribution of the depth is continuous, we have con…

math.ST2021★ 1 cited

Some parametric tests based on sample spacings

Rahul Singh, Neeraj Misra

Assume that we have a random sample from an absolutely continuous distribution (univariate, or multivariate) with a known functional form and some unknown parameters. In this paper…