Essay: Sunday shopping - The case of three surveys
Survey Research Methods, 2015 There is a growing discussion about the use of non-probability sampling in survey research. Probability sampling is the preferred method of sample selection, but practical problems like reduced data collection budgets, increasing nonresponse rates, and ...
Jelke Bethlehem
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Deep Hash Remote Sensing Image Retrieval with Hard Probability Sampling
Remote Sensing, 2020 As satellite observation technology improves, the number of remote sensing images significantly and rapidly increases. Therefore, a growing number of studies are focusing on remote sensing image retrieval. However, having a large number of remote sensing
Xue Shan +4 more
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EDITORIAL – A REVIEW OF THE METHODOLOGICAL MISCONCEPTIONS AND GUIDELINES RELATED TO THE APPLICATION OF STRUCTURAL EQUATION MODELING: A MALAYSIAN SCENARIO [PDF]
Journal of Applied Structural Equation Modeling, 2017 Although structural equation modeling (SEM) is a powerful statistical technique, understanding its methodological assumptions before data analyses is essential to attaining more robust results.
Mumtaz Ali Memon +4 more
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Probabilistic sampling strategy as a means of improving quality of price indices
Croatian Review of Economic, Business and Social Statistics, 2018 In spite of theoretical inferiority, a large majority of statistical institutes use non-probabilistic sampling techniques in price surveys. The main disadvantage of non-probabilistic sample design is that the risk of biased results is increased ...
Seljak Rudi +3 more
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Sampling constrained probability distributions using Spherical Augmentation
, 2015 Statistical models with constrained probability distributions are abundant in machine learning. Some examples include regression models with norm constraints (e.g., Lasso), probit, many copula models, and latent Dirichlet allocation (LDA).
A Beskos +41 more
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Remote Sensing, 2013 This paper complies with the Quality Assurance Framework for Earth Observation (QA4EO) international guidelines to provide a metrological/statistically-based quality assessment of the Spectral Classification of surface reflectance signatures (SPECL ...
Andrea Baraldi +2 more
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Defining Predictive Probability Functions for Species Sampling Models
, 2013 We review the class of species sampling models (SSM). In particular, we investigate the relation between the exchangeable partition probability function (EPPF) and the predictive probability function (PPF).
Lee, Jaeyong +3 more
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Sampling properties of random graphs: the degree distribution
, 2005 We discuss two sampling schemes for selecting random subnets from a network: Random sampling and connectivity dependent sampling, and investigate how the degree distribution of a node in the network is affected by the two types of sampling.
B. Bollobás +11 more
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Sampling the Probability Distribution of Type Ia Supernova Lightcurve Parameters in Cosmological Analysis [PDF]
, 2016 In order to obtain robust cosmological constraints from Type Ia supernova (SN Ia) data, we have applied Markov Chain Monte Carlo (MCMC) to SN Ia lightcurve fitting. We develop a method for sampling the resultant probability density distributions (pdf) of
Dai, Mi, Wang, Yun
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Size constrained unequal probability sampling with a non-integer sum of inclusion probabilities [PDF]
, 2012 More than 50 methods have been developed to draw unequal probability samples with fixed sample size. All these methods require the sum of the inclusion probabilities to be an integer number.
Grafström, Anton +3 more
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