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Performance-preserving event log sampling for predictive monitoring
Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such...
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Automated generation of initial points for adaptive rejection sampling of log-concave distributions
Adaptive rejection sampling requires that users provide points that span the distribution’s mode. If these points are far from the mode, it...
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Multiple dependent state repetitive sampling plan odd log-logistic generalized exponential distribution with application to beverage product’s carbon dioxide pressure and concentration
A multiple dependent state repetitive sampling plan (MDSRSP), applied in beverage product’s carbon dioxide pressure and level of Carbon dioxide...
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Complexity of zigzag sampling algorithm for strongly log-concave distributions
We study the computational complexity of zigzag sampling algorithm for strongly log-concave distributions. The zigzag process has the advantage of...
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Log Type Calibration Estimator of Population Mean in Stratified Sampling
In this paper, a log type calibration estimator for estimating the population mean in stratified random sampling has been proposed utilizing the...
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Generalized Ratio-Cum-Exponential-Log Ratio Type Estimators of Population Mean under Simple Random Sampling Scheme
AbstractThis paper aims to discuss the improvement of the estimation of the finite population mean of the study variable by employing an auxiliary...
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Adaptive Sampling for Weighted Log-Rank Survival Trees Boosting
The field of survival analysis is devoted to predicting the probability and time of the occurrence of an event. The global problem is to predict the...
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Event Log Sampling for Predictive Monitoring
Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such...
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Sampling
In numerous applications, copulas are widely recognized for their ability to capture complex dependencies. However, the use of copulas can pose a...
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Exact Distributed Sampling
Fast distributed algorithms that output a feasible solution for constraint satisfaction problems, such as maximal independent sets, have been heavily...
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Sampling Program
Counting and estimating the population statuses of all pests or their natural enemies in an ecosystem, such as a farm, orchard, jungle, or pasture,...
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Novel Log Type Class Of Estimators Under Ranked Set Sampling
This paper suggests some novel class of log type estimators for the estimation of population mean of study variable under ranked set sampling by...
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Sampling Distributions
Now, we are ready to discuss the relationship between probability and statistical inference. The two key facts to statistical inference are (a) the...
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ADCs and Sampling
Almost all real signals are analog by nature and almost all measurement systems are digital. That means that in most measurement systems, the signal...
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Sampling and Sample Preparation
Food quality is monitored at various processing stages but 100% inspection is rarely possible or even desirable. To ensure a representative sample of...
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Plot Sampling
The theory of sampling has been well described in the literature, but with less emphasis on density estimation. The topics covered are simple random...
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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 Distribution of Correlation
This chapter discusses the sampling distribution of correlation coefficients. The sampling distribution of covariance under normality is discussed...
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Sampling unknown large networks restricted by low sampling rates
Graph sampling plays an important role in data mining for large networks. Specifically, larger networks often correspond to lower sampling rates....
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Log-logistic parameters estimation using moving extremes ranked set sampling design
In statistical parameter estimation problems, how well the parameters are estimated largely depends on the sampling design used. In the current...