Search Results

SAMPLE AVERAGE APPROXIMATION METHODS FOR A CLASS OF STOCHASTIC VARIATIONAL INEQUALITY PROBLEMS,
Huifu Xu, in Asia-Pacific Journal of Operational Research (APJOR) (2010)
Keywords: Stochastic variational inequality, stochastic complementarity problem, sample average approximation, exponential convergence

Control Chart for Monitoring Variation Using Multiple Dependent State Sampling Under Neutrosophic Statistics,
Nasrullah Khan, Liaquat Ahmad, Muhammad Azam, Muhammad Aslam and Florentin Smarandache, from Springer (2021)
Keywords: Process variation, Neutrosophic statistic, Multiple dependent state sampling, Average run length, Variance chart, Sampling schemes, Fuzzy, Uncertainty, Average run length

One-sided variable sampling interval EWMA control charts for monitoring the multivariate coefficient of variation in the presence of measurement errors,
Quoc-Thông Nguyen, Vicent Giner-Bosch, Kim Duc Tran, Cédric Heuchenne and , E.A., from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) (2021)
Keywords: Multivariate Coefficient of Variation ; EWMA ; Variable sampling interval ; Average time to signal (ATS) ; Measurement Errors

Vector Quantized Variational Autoencoder-Based Compressive Sampling Method for Time Series in Structural Health Monitoring,
Ge Liang, Zhenglin Ji, Qunhong Zhong, Yong Huang and Kun Han, in Sustainability (2023)
Keywords: compressive sampling; deep learning; deep generative models; vector quantized–variational autoencoder; time series; structural health monitoring

SAMPLE AVERAGE APPROXIMATION METHOD FOR SOLVING A DETERMINISTIC FORMULATION FOR BOX CONSTRAINED STOCHASTIC VARIATIONAL INEQUALITY PROBLEMS,
Mei-Ju Luo and Gui-Hua Lin, in Asia-Pacific Journal of Operational Research (APJOR) (2012)
Keywords: Box constrained stochastic variational inequality, expected residual minimization, level sets, sample average approximation, convergence, 90C33, 90C30

On a Characterization of the Gamma Distribution: The Independence of the Sample Mean and the Sample Coefficient of Variation,
Tea-Yuan Hwang and Chin-Yuan Hu, in Annals of the Institute of Statistical Mathematics (1999)
Keywords: Characterization, gamma distribution, coefficient of variation,

A note on mean-field variational approximations in Bayesian probit models,
Artin Armagan and Russell L. Zaretzki, in Computational Statistics & Data Analysis (2011)
Keywords: Variational inference Bayesian probit model Gibbs sampling

Out of sample forecasts of quadratic variation,
Yacine Ait-Sahalia and Loriano Mancini, in Journal of Econometrics (2008)
Keywords: Market microstructure noise High frequency data Measurement error Realized volatility Two scales realized volatility Out of sample forecasts

CVEQUAL: Stata module to compute the equality of coefficients of variation (CV) from k populations,
Ariel Linden, from Boston College Department of Economics (2023)
Keywords: coefficient of variation, independent samples, reliability, measure of agreement

IS THE SAMPLE COEFFICIENT OF VARIATION A GOOD ESTIMATOR FOR THE POPULATION COEFFICIENT OF VARIATION?,
Rahim Mahmoudvand, Hossein Hassani and Rob Wilson, from University Library of Munich, Germany (2007)
Keywords: Coefficient of Variation (CV); Estimator; Maximum Likelihood Estimation (MLE)

Continuity and variation analysis of fractional uncertain processes,
Yuhong Sheng, Kai Yao and Zhongfeng Qin, in Chaos, Solitons & Fractals (2020)
Keywords: Uncertain process; Fractional liu process; Variation; Sample continuity;

Monotonicity and Complexity of Multistage Stochastic Variational Inequalities,
Jie Jiang and Hailin Sun, in Journal of Optimization Theory and Applications (2023)
Keywords: Stochastic variational inequality, Monotonicity, Sample average approximation, Rate of convergence

Updating Variational Bayes: Fast Sequential Posterior Inference,
Nathaniel Tomasetti, Catherine Forbes and Anastasios Panagiotelis, from Monash University, Department of Econometrics and Business Statistics (2019)
Keywords: importance sampling, forecasting, clustering, Dirichlet process mixture, variational inference

Updating Variational Bayes: Fast Sequential Posterior Inference,
Nathaniel Tomasetti, Catherine Forbes and Anastasios Panagiotelis, from Monash University, Department of Econometrics and Business Statistics (2020)
Keywords: importance sampling, forecasting, clustering, Dirichlet process mixture, variational inference

Reducing Variation of Risk Estimation by Using Importance Sampling,
Hatem Çoban, İpek Deveci Kocakoç, Şemsettin Erken and Mehmet Akif Aksoy, in Alphanumeric Journal (2019)
Keywords: Delta Normal Method, Importance Sampling, Monte Carlo Simulation, Tail Risk, Value at Risk

Optimal Jittered Sampling for two points in the unit square,
Florian Pausinger, Manas Rachh and Stefan Steinerberger, in Statistics & Probability Letters (2018)
Keywords: Jittered Sampling; Calculus of variations; Numerical integration; Quasirandom point sets;

A Note on Improving Variational Estimation for Multidimensional Item Response Theory,
Chenchen Ma, Jing Ouyang, Chun Wang and Gongjun Xu, in Psychometrika (2024)
Keywords: multidimensional item response theory, Gaussian variational em, importance sampling

CNVbd: A Method for Copy Number Variation Detection and Boundary Search,
Jingfen Lan, Ziheng Liao, A. K. Alvi Haque, Qiang Yu, Kun Xie and Yang Guo, in Mathematics (2024)
Keywords: copy number variation; boundary; breakpoint; single tumor sample; NGS data

Stochastic Optimization Problems with CVaR Risk Measure and Their Sample Average Approximation,
F. W. Meng, J. Sun and M. Goh, in Journal of Optimization Theory and Applications (2010)
Keywords: Conditional value-at-risk, Sample average approximation, Stochastic optimization, Variational analysis

S-Adapted Oligopoly Equilibria and Approximations in Stochastic Variational Inequalities,
Alain Haurie and Francesco Moresino, in Annals of Operations Research (2002)
Keywords: stochastic oligopoly model, sample path optimization, sampling technique, convergence of equilibria, numerical solution to variational inequalities,

Pre-averaging based estimation of quadratic variation in the presence of noise and jumps: Theory, implementation, and empirical evidence,
Nikolaus Hautsch and Mark Podolskij, from Center for Financial Studies (CFS) (2010)
Keywords: Quadratic Variation, MarketMicrostructure Noise, Pre-averaging, Sampling Schemes, Jumps

Pre-averaging based estimation of quadratic variation in the presence of noise and jumps: Theory, implementation, and empirical evidence,
Nikolaus Hautsch and Mark Podolskij, from Humboldt University Berlin, Collaborative Research Center 649: Economic Risk (2010)
Keywords: quadratic variation, market microstructure noise, pre-averaging, sampling schemes, jumps

Pre-Averaging Based Estimation of Quadratic Variation in the Presence of Noise and Jumps: Theory, Implementation, and Empirical Evidence,
Nikolaus Hautsch and Mark Podolskij, from Department of Economics and Business Economics, Aarhus University (2010)
Keywords: Quadratic Variation, MarketMicrostructure Noise, Pre-averaging, Sampling Schemes, Jumps

Estimation of a Finite Population Mean and Total Using Population Ranks of Sample Units,
Omer Ozturk, in Journal of Agricultural, Biological and Environmental Statistics (2016)
Keywords: Finite population, Horvitz–Thompson estimator, Inclusion probabilities, Coefficient of variation, Ranked set sampling, Judgment post stratified sampling

A note on inclusion probability in ranked set sampling and some of its variations,
M. Al-Saleh and H. Samawi, in TEST: An Official Journal of the Spanish Society of Statistics and Operations Research (2007)
Keywords: Inclusion probability, Ranked set sampling, Moving extreme ranked set sampling, 46N30,

Monitoring the coefficient of variation using variable sampling interval CUSUM control charts,
Phuong Hanh Tran and Cédric Heuchenne, from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) (2021)
Keywords: VSI ; CUSUM ; coefficient of variation ; Markov chain ; anomaly detection

Variational Autoencoding with Conditional Iterative Sampling for Missing Data Imputation,
Shenfen Kuang, Jie Song, Shangjiu Wang and Huafeng Zhu, in Mathematics (2024)
Keywords: missing data; variational autoencoder; conditional distribution; importance-weighted resampling

On estimation of the exponent of regular variation using a sample with missing observations,
Pavle Mladenovic and Vladimir Piterbarg, in Statistics & Probability Letters (2008)
Keywords: Regular variation Order statistics Missing observations Parameter estimation

Regularized Sample Average Approximation Approach for Two-Stage Stochastic Variational Inequalities,
Jie Jiang and Shengjie Li, in Journal of Optimization Theory and Applications (2021)
Keywords: Two-stage, Stochastic variational inequality, SAA, Regularization method, Convergence analysis

Estimating the p-Variation Index of a Sample Function: An Application to Financial Data Set,
Rimas Norvaiša and Donna Mary Salopek, in Methodology and Computing in Applied Probability (2002)
Keywords: estimation, p-variation index, box-counting index, financial data analysis

Socio-economic Variations, Consumption Poverty and Health-Generated Inequalities in Sample Population,
Moneer Alam, from Springer (2013)
Keywords: Consumption Expenditure, Lorenz Curve, Health Spending, Sample Household, Consumption Basket

Exact discrete sampling of finite variation tempered stable Ornstein–Uhlenbeck processes,
Kawai Reiichiro and Masuda Hiroki, in Monte Carlo Methods and Applications (2011)
Keywords: Acceptance-rejection sampling, high-frequency sampling, Lévy process, Ornstein–Uhlenbeck process, subordinator, transition probability, tempered stable process

Regularizations for Stochastic Linear Variational Inequalities,
Yanfang Zhang and Xiaojun Chen, in Journal of Optimization Theory and Applications (2014)
Keywords: Stochastic variational inequality, Epi-convergence, Semismooth, Expected residual minimization, Sample average approximations

Estimating the Parameters of a Fractional Brownian Motion by Discrete Variations of its Sample Paths,
Jean-François Coeurjolly, in Statistical Inference for Stochastic Processes (2001)
Keywords: fractional Brownian motion, fractional Gaussian noise, discrete variations, consistency, self-similarity,

Meta densities and the shape of their sample clouds,
A.A. Balkema, P. Embrechts and N. Nolde, in Journal of Multivariate Analysis (2010)
Keywords: Meta distribution Sample clouds Level sets Limit shape Multivariate extremes Regular variation

Sequential adaptive strategies for sampling rare clustered populations,
Fulvia Mecatti, Charalambos Sismanidis, Emanuela Furfaro and Pier Luigi Conti, in Statistical Methods & Applications (2023)
Keywords: Over-sampling, Poisson sampling, Informative designs, Pseudo Horvitz-Thompson estimator, Asymptotics, Budget and logistic constraints, Intra-cluster variation

Regular variation of GARCH processes,
Bojan Basrak, Richard A. Davis and Thomas Mikosch, in Stochastic Processes and their Applications (2002)
Keywords: Point process Vague convergence Multivariate regular variation Mixing condition Stationary process Heavy tail Sample autocovariance Sample autocorrelation GARCH Finance Markov chain

A comprehensive investigation of variational auto-encoders for population synthesis,
Abdoul Razac Sané, Pierre-Olivier Vandanjon, Rachid Belaroussi and Pierre Hankach, in Journal of Computational Social Science (2025)
Keywords: Synthetic population, Machine learning, Deep generative model, Variational autoencoders, Sampling zeros, Structural zeros

Exploring spatiotemporal ecological variations by the multiscale interpolation,
Ling-Yun Chiao, Chih-hao Hsieh and Tai-Sheng Chiu, in Ecological Modelling (2012)
Keywords: Interpolation; Gridding; Kriging; Multiscale inversion; Non-stationary sampling; Wavelet based multiresolution representation; Spatiotemporal ecological variation;

Improved Estimators of Coefficient of Variation in a Finite Population,
V. Archana and K. Aruna Rao, in Statistics in Transition new series (2011)
Keywords: Model based comparison, Coefficient of Variation, Simple Random Sampling, Regression estimator, Mean Square Error, Confidence interval.

Inclusion probabilities in partially rank ordered set sampling,
Omer Ozturk and Mohammad Jafari Jozani, in Computational Statistics & Data Analysis (2014)
Keywords: Finite population; Horvitz–Thompson estimator; Partial ranking; Coefficient of variation; Ranked set sampling;

On the use of random forest for two-sample testing,
Simon Hediger, Loris Michel and Jeffrey Näf, in Computational Statistics & Data Analysis (2022)
Keywords: Random forest; Distribution testing; Classification; Kernel two-sample test; MMD; Total variation distance; U-statistics;

Sample Covariance Matrix for Random Vectors with Heavy Tails,
Mark M. Meerschaert and Hans-Peter Scheffler, in Journal of Theoretical Probability (1999)
Keywords: Operator stable, generalized domains of attraction, regular variation, sample covariance matrix, heavy tails

Identification from Response-Based Samples,
Charles Manski, from Wisconsin Madison - Social Systems (1993)
Keywords: sampling

A Hybrid Newton Method for Stochastic Variational Inequality Problems and Application to Traffic Equilibrium,
Yan-Chao Liang, Qiao-Na Fan and Pei-Ping Shen, in Asia-Pacific Journal of Operational Research (APJOR) (2021)
Keywords: Stochastic variational inequality, D-gap function, sample average approximation, hybrid Newton method, traffic equilibrium

Expected Residual Minimization Formulation for a Class of Stochastic Vector Variational Inequalities,
Yong Zhao, Jin Zhang, Xinmin Yang and Gui-Hua Lin, in Journal of Optimization Theory and Applications (2017)
Keywords: Stochastic vector variational inequalities, Expected residual minimization formulation, Sample average approximation

Conditional information for an inverse Gaussian distribution with known coefficient of variation,
Katuomi Hirano and Kōsei Iwase, in Annals of the Institute of Statistical Mathematics (1989)
Keywords: Ancillary statistic, coefficient of variation, conditional inference, inverse Gaussian distribution, sample information,

Sampling,
Peter Kenny, from Springer (2014)
Keywords: Simple Random Sampling, Proportional Allocation, Quota Sampling, Sampling Cost, Infinite Population

More limit theory for the sample correlation function of moving averages,
Richard Davis and Sidney Resnick, in Stochastic Processes and their Applications (1985)
Keywords: sample correlation function regular variation stable laws moving averages point processes ARMA models, central limit theorem

Large sample autocovariance matrices of linear processes with heavy tails,
Johannes Heiny and Thomas Mikosch, in Stochastic Processes and their Applications (2021)
Keywords: Regular variation; Sample autocovariance matrix; Linearly dependent entries; Largest eigenvalues; Point process convergence; Large deviations;

Safe sample screening rules for multicategory angle-based support vector machines,
Yiwei Fan and Junlong Zhao, in Computational Statistics & Data Analysis (2022)
Keywords: Angle-based support vector machine; Duality gap; Sample screening; Variational inequality;

Calendar Time Sampling of High Frequency Financial Asset Price and the Verdict on Jumps,
Marina Theodosiou, from Central Bank of Cyprus (2010)
Keywords: Sampling schemes, previous tick method, quadratic variation, jumps, stochastic volatility,realized measures, high-frequency data

Some exact expressions for the mean and higher moments of functions of sample moments,
K. Bowman and L. Shenton, in Annals of the Institute of Statistical Mathematics (1992)
Keywords: Coefficient of variation, Frullani integrals, moment series, sample variance, symbolic characteristic function,

CUM DUAL PRODUCT ESTIMATOR FOR THE POPULATION MEAN USING RANKED SET SAMPLING,
Ilugbo Stephen Olubusola, Raji Idowu, Owojori Adefope Adeyanju and Afolabi Habeeb Abiodun, in Matrix Science Mathematic (MSMK) (2022)
Keywords: Ranked Set Sampling, Ratio Estimator, Product Estimator, Auxiliary Variable, Coefficient of Variation.

Almost sure convergence of the largest and smallest eigenvalues of high-dimensional sample correlation matrices,
Johannes Heiny and Thomas Mikosch, in Stochastic Processes and their Applications (2018)
Keywords: Sample correlation matrix; Infinite fourth moment; Largest eigenvalue; Smallest eigenvalue; Spectral distribution; Sample covariance matrix; Self-normalization; Regular variation; Combinatorics;

Quantifying Urban Spatial Variations of Anthropogenic VOC Concentrations and Source Contributions with a Mobile Sampling Platform,
Peishi Gu, Timothy R. Dallmann, Hugh Z. Li, Yi Tan and Albert A. Presto, in IJERPH (2019)
Keywords: air toxics; source apportionment; BTEX; mobile sampling

Optimization of Sample Points for Monitoring Arable Land Quality by Simulated Annealing while Considering Spatial Variations,
Junxiao Wang, Xiaorui Wang, Shenglu Zhou, Shaohua Wu, Yan Zhu and Chunfeng Lu, in IJERPH (2016)
Keywords: land evaluation; simulated annealing; soil sample points

Deterministic Bi-Criteria Model for Solving Stochastic Mixed Vector Variational Inequality Problems,
Meiju Luo, Menghan Du and Yue Zhang, in Mathematics (2023)
Keywords: stochastic; mixed vector variational inequality; deterministic bi-criteria model; sample average approximation; compact approximation

Accounting for medical variation: The case of prescribing activity in a New Zealand general practice sample,
Peter B. Davis, Roy Lay Yee and John Millar, in Social Science & Medicine (1994)
Keywords: medical variation prescribing general practice clinical decision-making

On exact sampling of the first passage event of a Lévy process with infinite Lévy measure and bounded variation,
Zhiyi Chi, in Stochastic Processes and their Applications (2016)
Keywords: First passage; Lévy process; Bounded variation; Subordinator; Creeping; Dirichlet distribution;

Symmetrizing and Variance Stabilizing Transformations of Sample Coefficient of Variation from Inverse Gaussian Distribution,
Yogendra P. Chaubey, Murari Singh and Debaraj Sen, in Sankhya B: The Indian Journal of Statistics (2017)
Keywords: Coefficient of variation, Inverse Gaussian distribution, Symmetrizing transformation, Variance stabilizing transformation

Lithium Battery State-of-Health Estimation Based on Sample Data Generation and Temporal Convolutional Neural Network,
Fang Guo, Guangshan Huang, Wencan Zhang, An Wen, Taotao Li, Hancheng He, Haolin Huang and Shanshan Zhu, in Energies (2023)
Keywords: battery; state of health; limited data; sample generation; Variational Auto-Encoder; temporal convolutional neural network

Parameter estimation for discretely sampled stochastic heat equation driven by space-only noise,
Igor Cialenco and Hyun-Jung Kim, in Stochastic Processes and their Applications (2022)
Keywords: Parabolic Anderson model; Quadratic variation; Parameter estimation; Discrete sampling; Space-only noise; Malliavin-Stein’s method;

Comparing the efficiency of sampling strategies to establish a representative in the phenotypic-based genetic diversity core collection of orchardgrass (Dactylis glomerata L.),
Marcin Studnicki, Wiesław Mądry and Jan Schmidt, in Czech Journal of Genetics and Plant Breeding (2013)
Keywords: core collection, genetic diversity, germplasm collection, orchardgrass, phenotypic variation, representativeness, sampling strategies

Sample quantiles of heavy tailed stochastic processes,
Paul Embrechts and Gennady Samorodnitsky, in Stochastic Processes and their Applications (1995)
Keywords: Sample quantiles Look-back options Regular variation Infinitely divisible processes Stable processes Lévy measure Tail behavior of the distribution

Fast and accurate variational inference for models with many latent variables,
Rubén Loaiza-Maya, Michael Stanley Smith, David J. Nott and Peter Danaher, in Journal of Econometrics (2022)
Keywords: Latent variable models; Time-varying VAR with stochastic volatility; Large consumer panels; Sub-sampling variational inference; Stochastic gradient ascent;

How precise is the finite sample approximation of the asymptotic distribution of realised variation measures in the presence of jumps?,
Almut Veraart, from Department of Economics and Business Economics, Aarhus University (2010)
Keywords: Realised variance, realised multipower variation, truncated realised variance, inference, stochastic volatility, jumps, priceLength: 48

Ranking of factors that underlie the drivers of sustainable manufacturing based on their variation in a sample of UK manufacturing plants,
Haitem Fargani, Wai Ming Cheung and Reaz Hasan, in International Journal of Manufacturing Technology and Management (2018)
Keywords: sustainable manufacturing; statistical analysis; variation control; environmental management; sustainability drivers; operations management.

Variable sample-size optimistic mirror descent algorithm for stochastic mixed variational inequalities,
Zhen-Ping Yang, Yong Zhao and Gui-Hua Lin, in Journal of Global Optimization (2024)
Keywords: Stochastic mixed variational inequality, Mirror descent, Bregman distance, Local stability, Convergence rate

How precise is the finite sample approximation of the asymptotic distribution of realised variation measures in the presence of jumps?,
Almut Veraart, in AStA Advances in Statistical Analysis (2011)
Keywords: Realised variance, Realised multipower variation, Truncated realised variance, Inference, Stochastic volatility, Jumps,

Semi-supervised small sample fault diagnosis under a wide range of speed variation conditions based on uncertainty analysis,
Dawei Gao, Kai Huang, Yongsheng Zhu, Linbo Zhu, Ke Yan, Zhijun Ren and C. Guedes Soares, in Reliability Engineering and System Safety (2024)
Keywords: Small sample fault diagnosis; Variable speed; Decision fusion; Semi-supervised learning;

The Data-Driven Optimization Method and Its Application in Feature Extraction of Ship-Radiated Noise with Sample Entropy,
Yuxing Li, Xiao Chen, Jing Yu, Xiaohui Yang and Huijun Yang, in Energies (2019)
Keywords: data-driven; variational mode decomposition (VMD); improved variational mode decomposition (IVMD); empirical mode decomposition (EMD); feature extraction; sample entropy (SE); ship-radiated noise (S-RN)

Sample Budget,
Keith R. Fevurly, from Springer (2013)
Keywords: Sampling Budget

Sampling at subexponential times, with queueing applications,
Søren Asmussen, Claudia Klüppelberg and Karl Sigman, in Stochastic Processes and their Applications (1999)
Keywords: Busy period Independent sampling Laplace's method Large deviations Little's law Markov additive process Poisson process Random walk Regular variation Subexponential distribution Vacation model Weibull distribution

An Abstract Problem in Variational Analysis,
D. T. Luc, in Journal of Optimization Theory and Applications (2008)
Keywords: Variational relations, Equilibria, Variational inequalities

On the Sampling Size for Inverse Sampling,
Daniele Cuntrera, Vincenzo Falco and Ornella Giambalvo, in Stats (2022)
Keywords: big data; sampling statistics; inverse sampling

Partitions for stratified sampling,
Clément François, Kirk Nathan and Pausinger Florian, in Monte Carlo Methods and Applications (2024)
Keywords: Jittered sampling, stratified sampling

Eigenvalues and eigenvectors of heavy-tailed sample covariance matrices with general growth rates: The iid case,
Johannes Heiny and Thomas Mikosch, in Stochastic Processes and their Applications (2017)
Keywords: Regular variation; Sample covariance matrix; Independent entries; Largest eigenvalues; Eigenvectors; Point process convergence; Compound Poisson limit; Fréchet distribution;

Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network,
Jiandong Duan, Peng Wang, Wentao Ma, Xuan Tian, Shuai Fang, Yulin Cheng, Ying Chang and Haofan Liu, in Energy (2021)
Keywords: Short-term wind power forecasting; Long short-term memory neural network; Maximum Correntropy criterion; Variational mode decomposition; Sample entropy;

Transfer Learning with Attributes for Improving the Landslide Spatial Prediction Performance in Sample-Scarce Area Based on Variational Autoencoder Generative Adversarial Network,
Mansheng Lin, Shuai Teng, Gongfa Chen and David Bassir, in Land (2023)
Keywords: transfer learning with attributes; landslide spatial prediction; variational autoencoder generative adversarial network; deep-learning frameworks

POSITIVE VARIATION,
Ion Nãftãnãilã and Georgiana Cioanã, in International Conference Modern Approaches in Organisational Management and Economy (2011)
Keywords: positive variation, reducing variation and complexity, diversification, product design, process design

Stability of pure strategy sampling equilibria,
Michał Ramsza, in International Journal of Game Theory (2005)
Keywords: sampling equilibrium, sampling dynamics,

GSAMPLE: Stata module to draw a random sample,
Ben Jann, from Boston College Department of Economics (2020)
Keywords: sampling, random sampling, probability sampling

Variations in government contract in Malaysia,
Jaspal Singh Nachatar, Abdul Aziz Hussin and Abdelnaser Omran, in Manager Journal (2010)
Keywords: Variation, governament contract, variation order, Penang, Malaysia.

Parameterized variational inequalities,
Pando Georgiev, in Journal of Global Optimization (2010)
Keywords: Variational inequality, Monotone operators, Variational principle,

Sampling for Variance in a Population,
Brian Stacey, from University Library of Munich, Germany (2015)
Keywords: Sampling, Statistics

Two-Step Sequential Sampling,
J.J.A. Moors and Leo Strijbosch, from Tilburg University, Center for Economic Research (2000)
Keywords: sampling; bias

Asymptotic theory for the sample covariance matrix of a heavy-tailed multivariate time series,
Richard A. Davis, Thomas Mikosch and Oliver Pfaffel, in Stochastic Processes and their Applications (2016)
Keywords: Regular variation; Sample covariance matrix; Dependent entries; Largest eigenvalues; Trace; Point process convergence; Compound Poisson limit; Infinite variance stable limit; Fréchet distribution;

Weighing Sample Evidence,
Karol Szwagrzak, from Copenhagen Business School, Department of Economics (2021)
Keywords: Sample; Sample size; Uncertainty attitudes

Graph sampling,
L.-C. Zhang and M. Patone, in METRON (2017)
Keywords: Network, Finite-graph sampling, Multiplicity sampling, Indirect sampling, Adaptive cluster sampling