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A simple method for rejection sampling efficiency improvement on SIMT architectures
We derive a probability distribution for the possible number of iterations required for a SIMT (single instruction multiple thread) program using...
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Acceptance Sampling
Statistical quality controlStatistical quality control means application of statistical techniques for checking the quality of products. The products...
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Sampling Plans for Batch and Sequential Inspection
Traditional supervision consists of kee** close control of operations and progress, the focus of attention being the product or process outputs. A...
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Presence-Only for Marked Point Process Under Preferential Sampling
Preferential sampling models have garnered significant attention in recent years. Although the original model was developed for geostatistics, it...
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Economical Group Chain Sampling Plans for Weibull Distribution Using Bayesian Approach
The paper focuses on the economic design of group chain sampling plans (GChSP) for the Weibull distribution using Bayesian methodology. The GChSP is...
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Imbalanced data sampling design based on grid boundary domain for big data
The data distribution is often associated with a priori -known probability, and the occurrence probability of interest events is small, so a large...
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Statistical Quality Control: Acceptance Sampling Plans in the Light of Fuzzy Mathematics
Statistical quality control is a productivity enhancing and regulatory technique with three factors––Management, Methods and Mathematics. More...
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Designing and Selection of Bayesian Skip Lot Sampling Plan Type BSkSP-2 with Single Sampling Plan Under Zero-Inflated Poisson Distribution
Sampling plans are effective statistical technique for testing and deciding whether to accept or not a lot based on quality inspection studied under...
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Dynamic sampling from a discrete probability distribution with a known distribution of rates
In this paper, we consider several efficient data structures for the problem of sampling from a dynamically changing discrete probability...
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The Computational Cost of Blocking for Sampling Discretely Observed Diffusions
Many approaches for conducting Bayesian inference on discretely observed diffusions involve imputing diffusion bridges between observations. This can...
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Bayesian Sampling Plan for the Exponential Distribution with Generalized Type-I Hybrid Censoring Scheme
This paper discusses Bayesian sampling plan when the lifetime of the experimental units follows an exponential distribution and the data are...
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Ensemble slice sampling
Slice sampling has emerged as a powerful Markov Chain Monte Carlo algorithm that adapts to the characteristics of the target distribution with...
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Two-sample test of stochastic block models via the maximum sampling entry-wise deviation
The paper discusses a statistical problem related to testing for differences between two networks with community structures. While existing methods...
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An Optimal Bayesian Sampling Plan for Two-Parameter Exponential Distribution Under Type-I Hybrid Censoring
The Bayesian sampling plan for two-parameter exponential distribution has been considered by Lam ( Statistician , 39 , 53–66,
1990 ) under the...
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Two Reliability Acceptance Sampling Plans for Items Subject to Wiener Process of Degradation
Traditionally, in reliability acceptance sampling plans, the decision to accept or reject a lot is made by performing the life tests of items....
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An improved exact sampling algorithm for the standard normal distribution
In 2016, Karney proposed an exact sampling algorithm for the standard normal distribution. In this paper, we study the computational complexity of...
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Gumbel’s bivariate exponential distribution: estimation of the association parameter using ranked set sampling
In this paper, we consider three sampling methods that are ranked set sampling (RSS), generalized modified ranked set sampling (GMRSS) and extreme...
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A Gibbs Sampling Algorithm with Monotonicity Constraints for Diagnostic Classification Models
Diagnostic classification models (DCMs) are restricted latent class models with a set of cross-class equality constraints and additional monotonicity...
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The Transformed MG-Extended Exponential Distribution: Properties and Applications
Our research paper introduces a newly developed probability distribution called the transformed MG-extended exponential (TMGEE) distribution. This...
