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A STUDY ON THE INTRODUCTION OF TOTAL NATURAL RESOURCES MANAGEMENT SYSTEM USING THE ENVIRONMENTAL CONSERVATION VALUE ASSESSMENT MAP
otal Natural Resource Management System Environmental Conservation Value Assessment Map Environmental Impact Assessment No Net loss Natural Resources
2018/5/14
The environmental impact assessment system and the environmental plan for the preservation of the land environment are carried out with the aim of preventing damage to the environment caused by human ...
Online Crowdsourcing Subjective Image Quality Assessment
Subjective Image Quality Assessment Online Crowdsourc- ing Paired Comparison
2016/1/25
Recently, HodgeRank on random graphs has been proposed as an effective framework for multimedia quality assessment problem based on paired comparison method. With the ran-dom design on large graphs, i...
HodgeRank on Random Graphs for Subjective Video Quality Assessment
Video Quality Assessment Paired Comparison HodgeRank Random Graphs Persistence Homology
2016/1/25
This paper introduces a novel framework, HodgeR-ank on Random Graphs (HRRG), based on paired comparison,for subjective video quality assessment. Two types of random graph models are studied, i.e., Erd...
Online Crowdsourcing Subjective Image Quality Assessment
Subjective Image Quality Assessment Online Crowdsourc- ing Paired Comparison
2016/1/20
Recently, HodgeRank on random graphs has been proposed as an effective framework for multimedia quality assessment problem based on paired comparison method. With the ran-dom design on large graphs, i...
HodgeRank on Random Graphs for Subjective Video Quality Assessment
Video Quality Assessment Paired Comparison HodgeRank Random Graphs Persistence Homology
2016/1/20
This paper introduces a novel framework, HodgeR-ank on Random Graphs (HRRG), based on paired comparison,for subjective video quality assessment. Two types of random graph models are studied, i.e., Erd...
Monte Carlo algorithms for model assessment via conflicting summaries
Metropolis-Hastings Sequential Monte Carlo model choice
2011/7/6
The development of statistical methods and numerical algorithms for model choice is vital to many real-world applications. In practice, the ABC approach can be instrumental for sequential model design...
Deep determinism and the assessment of mechanistic interaction between categorical and continuous variables
Methodology (stat.ME) Genomics (q-bio.GN)
2010/12/17
Our aim is to detect mechanistic interaction between the effects of two causal factors on a binary response, as an aid to identifying situations where the effects are mediated by a common mechanism.
Model Assessment Tools for a Model False World
Model selection statistical distance bootstrap model credibility index normality
2010/10/14
A standard goal of model evaluation and selection is to find a model that approximates the truth well while at the same time is as parsimonious as possible. In this paper we emphasize the point of vi...
A Bayesian Hierarchical Modeling Approach to Dietary Assessment via Food Frequency
Bayesian Hierarchical Modeling Approach Dietary Assessment Food Frequency
2010/4/26
Previous likelihood-based linear modeling of nutritional data has been limited by the availability of software that allows flexible error structures in the data. We demonstrate the use of a Bayesian m...
The Search for Certainty:a critical assessment
Foundations frequentist statistics Bayesian statistics vonMises de Finetti probability theory
2010/3/9
The book The Search for Certainty published in 2009 by Krzysztof
Burdzy examines the “philosophical duopoly” at the foundation of statistics and
find it missing. We point out in this review the weak...
Bayesian Nonparametrics for Heavy Tailed Distribution. Application to Food Risk Assessment
Dirichlet process Model Based clustering Ochratoxin A Tail index estimation
2009/9/22
Based on the fact that any heavy tailed distribution can be approxi-
mated by a possibly innite mixture of Pareto distributions, this paper proposes
two Bayesian methodologies tailored to infer on d...
Bayesian Model Assessment Using Pivotal Quantities
prior-predictive density posterior-predictive density Bayesian model diagnostics Bayesian chi-squared test
2009/9/22
Suppose that S(Y) is a function of data Y and a model parameter,
and suppose that the sampling distribution of S(Y) is invariant when evaluated
at , the true (i.e., data-generating) value of. Then S...
Assessment of Locally Influential Observations in Bayesian Models
Case sensitivity Kullback-Leibler divergence influence predictive density posterior density quasi-posterior
2009/9/22
In models with conditionally independent observations, it is shown
that the posterior variance of the log-likelihood from observation i is a measure
of that observation local inuence. This result is...
MINIMUM UNSAFE AND MAXIMUM SAFE SETS OF VARIABLES FOR DISCLOSURE RISK ASSESSMENT OF INDIVIDUAL RECORDS IN A MICRODATA SET
Hasse diagram hitting set problem local suppression NP-complete sample unique
2009/3/11
In the framework of disclosure control of a microdata set, a unique record is at risk of being identified. Even if a record is not unique in the microdata set, it may be considered risky if the freque...
ASSESSMENT OF INFLUENCE OF INDIVIDUAL OBSERVATIONS ON PREDICTION MEAN SQUARE ERRORS IN VARIABLE SELECTION PROBLEMS
Cook's distance influence measure influential observation Mallows'CP statistic regression diagnostics sensitivity analysis
2009/3/10
A new influence measure is proposed to assess the influence of individual observations on prediction mean square errors (PMSE) in variable selection problems. It is based on the estimated PMSE which c...