نتایج جستجو برای: geo statistical method
تعداد نتایج: 1922388 فیلتر نتایج به سال:
Databases for machine learning and data mining often have missing values. How to develop effective method for missing values imputation is an important problem in the field of machine learning and data mining. In this paper, several methods for dealing with missing values in incomplete data are reviewed, and a new method for missing values imputation based on iterative learning is proposed. The...
Bayesian multiple imputation and maximum likelihood provide useful strategy for dealing with dataset including missing values. Imputation methods affect the significance of test results and the quality of estimates. In this paper, the general procedures of multiple imputation and maximum likelihood described which include the normal-based analysis of a multiple imputed dataset. A Monte Carlo si...
identifying the change trends in forms of land surface is one of the main topics in geomorphic system. in this view, we try to assess the stability level of geo systems, boundary changes, instability and prediction of surface forms and processes response. this paper tries to conduct a comparative analysis on the geomorphic equilibrium paradigms, critical thresholds, environmental and natural ha...
the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...
the present research has been deducted from a provincial research project which aims at determining the relationship of variables of variables of occupational self-concept, intelligence beliefs and metacognitive with entrepreneurship among the students of payame noor university of kurdistan. the volume of the samples was 1080 students (576 female and 504 male students). the research methodology...
When using survey data, researchers must evaluate how to effectively handle missing data. For social survey data, full information maximum likelihood methods are often implemented when the researcher is interested in structural equation models. This strategy is convenient to implement and provides acceptable results. Yet it does not incorporate any imputation methods for assessing the missing i...
This paper considers partially linear varying coefficient models when the response variable is missing at random. The paper uses imputation techniques to develop an omnibus specification test. The test is based on a simple modification of a Cramer von Mises functional that overcomes the curse of dimensionality often associated with the standard Cramer von Mises functional. The paper also consid...
the present paper aims to examine one of the technically-based approaches in the field of urban planning and urban management which started about two decades ago, and has been tested in iran over the past decade with some scientific and executive prudence. in this paper, the clue_s model, one of the models for land use changes process simulation, is used to examine its efficiency in urbanizatio...
Intravoxel incoherent motion (IVIM) imaging can characterize diffusion and perfusion of normal and diseased tissues, and IVIM parameters are authentically determined by using cumbersome least-squares method. We evaluated a simple technique for the determination of IVIM parameters using geometric analysis of the multiexponential signal decay curve as an alternative to the least-squares method fo...
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