Keyword: statistics: sampling

Found 319 papers in total
Optimal Designs of the Variable Sample Size &xmacr; Chart Based on Median Run Length and Expected Median Run Length
Optimal Designs of the Variable Sample Size &xmacr; Chart Based on Median Run Length and Expected Median Run Length
2017,
The variable sample size (VSS) &xmacr; chart, devoted to the detection of moderate...
Investigating the Impact of Ranked Set Sampling in Nonparametric CUSUM Control Charts
Investigating the Impact of Ranked Set Sampling in Nonparametric CUSUM Control Charts
2017,
Nonparametric control charts can be useful as an alternative in practice to the data...
Dependence Estimation for High-frequency Sampled Multivariate CARMA Models
Dependence Estimation for High-frequency Sampled Multivariate CARMA Models
2016,
The paper considers high‐frequency sampled multivariate continuous‐time...
A Rejection Principle for Sequential Tests of Multiple Hypotheses Controlling Familywise Error Rates
A Rejection Principle for Sequential Tests of Multiple Hypotheses Controlling Familywise Error Rates
2016,
We present a unifying approach to multiple testing procedures for sequential (or...
A Sample Selection Model with Skew-normal Distribution
A Sample Selection Model with Skew-normal Distribution
2016,
Non‐random sampling is a source of bias in empirical research. It is common for...
Second-order Accurate Confidence Regions Based on Members of the Generalized Power Divergence Family
Second-order Accurate Confidence Regions Based on Members of the Generalized Power Divergence Family
2016,
Recently, a technique based on pseudo‐observations has been proposed to tackle...
Comparison of Cramer‐Rao lower bounds of variances for at least equal protection of respondents
Comparison of Cramer‐Rao lower bounds of variances for at least equal protection of respondents
2016,
In this paper, a new randomized response model is proposed, which is shown to have a...
Planning and Analyzing Experiments with Models that Distinguish Between Replicates and Repeats
Planning and Analyzing Experiments with Models that Distinguish Between Replicates and Repeats
2017,
A commonly used model to analyze experiments with normal responses does not...
An Efficient Nonparametric EWMA Wilcoxon Signed-Rank Chart for Monitoring Location
An Efficient Nonparametric EWMA Wilcoxon Signed-Rank Chart for Monitoring Location
2017,
The statistical performance of traditional control charts for monitoring the process...
A Semi-parametric Model for Microstructure Analysis of Advanced High-strength Dual-phase Steels Considering Sample Variation
A Semi-parametric Model for Microstructure Analysis of Advanced High-strength Dual-phase Steels Considering Sample Variation
2016,
Microstructure analysis of advanced high‐strength dual‐phase steels has...
Two New Independent Mixed Sampling Plans for Inspecting a Product with Linear Profiles
Two New Independent Mixed Sampling Plans for Inspecting a Product with Linear Profiles
2016,
Acceptance‐sampling plans have been widely used to decide whether an inspection...
Effect of Measurement Error on Joint Monitoring of Process Mean and Variability under Ranked Set Sampling
Effect of Measurement Error on Joint Monitoring of Process Mean and Variability under Ranked Set Sampling
2016,
In this paper first we apply ranked set sampling (RSS) procedure in joint monitoring...
EWMA and DEWMA Control Charts for Poisson-Exponential Distribution: Conditional Median Approach for Censored Data
EWMA and DEWMA Control Charts for Poisson-Exponential Distribution: Conditional Median Approach for Censored Data
2017,
Exponentially weighted moving average (EWMA) control charts are consistently used for...
Distributional Properties of Multivariate Process Capability Indices under Normal and Non-normal Distributions
Distributional Properties of Multivariate Process Capability Indices under Normal and Non-normal Distributions
2017,
Multivariate capability analysis has been the focus of study in recent years, during...
Campylobacter QMRA: A Bayesian Estimation of Prevalence and Concentration in Retail Foods Under Clustering and Heavy Censoring
Campylobacter QMRA: A Bayesian Estimation of Prevalence and Concentration in Retail Foods Under Clustering and Heavy Censoring
2016,
A Bayesian statistical temporal‐prevalence‐concentration model (TPCM)...
Import Security: Assessing the Risks of Imported Food
Import Security: Assessing the Risks of Imported Food
2016,
We use data on food import violations from the FDA Operational and Administrative...
The stochastic close-enough arc routing problem
The stochastic close-enough arc routing problem
2017,
The Stochastic Close‐Enough Arc Routing Problem is a challenging problem where...
Information Sampling, Belief Synchronization, and Collective Illusions
Information Sampling, Belief Synchronization, and Collective Illusions
2017,
We demonstrate that a sampling‐based mechanism can offer an alternative...
Statistical Optimization in High Dimensions
Statistical Optimization in High Dimensions
2016,
We consider optimization problems whose parameters are known only approximately, based...
On the Modelling and Forecasting of Multivariate Realized Volatility: Generalized Heterogeneous Autoregressive (GHAR) Model
On the Modelling and Forecasting of Multivariate Realized Volatility: Generalized Heterogeneous Autoregressive (GHAR) Model
2017,
Recent multivariate extensions of the popular heterogeneous autoregressive model (HAR)...
Single- and Multiple-Informant Research Designs to Examine the Human Resource Management-Performance Relationship
Single- and Multiple-Informant Research Designs to Examine the Human Resource Management-Performance Relationship
2016,
During the last decades, many empirical studies have analysed the relationship between...
Framework to Evaluate Exposure Relevance and Data Needs for Risk Assessment of Nanomaterials using in Vitro Testing Strategies
Framework to Evaluate Exposure Relevance and Data Needs for Risk Assessment of Nanomaterials using in Vitro Testing Strategies
2016,
This article presents a multistage framework for evaluating the strength of evidence...
Applying Dynamic Training-Subset Selection Methods Using Genetic Programming for Forecasting Implied Volatility
Applying Dynamic Training-Subset Selection Methods Using Genetic Programming for Forecasting Implied Volatility
2016,
Volatility is a key variable in option pricing, trading, and hedging strategies. The...
Optimal Design for Step-Stress Accelerated Test with Random Discrete Stress Elevating Times Based on Gamma Degradation Process
Optimal Design for Step-Stress Accelerated Test with Random Discrete Stress Elevating Times Based on Gamma Degradation Process
2016,
Recently, a step‐stress accelerated degradation test plan, in which the stress...
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