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35 results for “Nonparametric”
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Research ArticleOpen accessIn the abstractEffect of Bisphenol a on Passive Avoidance Performance in Male RatsMahnaz Taherianfard, Bita Geramizadeh, Mehrzad Banihashemi et al.Bisphenol A (BPA) is used to manufacture polycarbonate plastic products in resins lining metal cans, in dental sealants and in blends with other types of plastic products. In sharp contrast, there are many published studies that BPA has a wide range of significant adverse effects including structural and neurochemical changes throughout the brain associated with behavioral changes, such as hyperactivity, … …Current Research in Medicine, Vol. 4, Issue 2 · 10 Dec 2013 · 7,222 accessesView PDFCite
Research ArticleOpen accessIn the abstractSMOOTHING SPLINE IN SEMIPARAMETRIC ADDITIVE REGRESSION MODEL WITH BAYESIAN APPROACHRita Diana, I. Nyoman Budiantara, Purhadi, Satwiko DarmestoSemiparametric additive regression model is a combination of parametric and nonparametric regression models. The parametric components are not linear but following a polynomial pattern, while the nonparametric components are unknown pattern and assumed to be contained in the Sobolev space. The nonparametric components can be approximated by smoothing spline functions. In the development of smoothing spline, the classical statistical approach … …Journal of Mathematics and Statistics, Vol. 9, Issue 3 · 12 Jun 2013 · 7,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractTREND ANALYSIS OF MONTHLY RAINFALL DATA IN CENTRAL ZONETelemu KassileProper trend analysis of rainfall data is necessary for social and economic planning especially in the tropics where rainfall is a major limiting factor for crop production. In spite of the growing number of studies on climatic variables including rainfall in recent years, in the context of Tanzania little is known as to whether or not the observed time trend … …Journal of Mathematics and Statistics, Vol. 9, Issue 1 · 15 Mar 2013 · 7,939 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Multiresponse Semiparametric Regression ModelSri Haryatmi, I. Nyoman Budiantara, Wahyu WibowoThe modeling between predictors and response in statistics sometimes deals with more than one response or multiresponse situation. Furthermore, it can be happen that some predictors have linear relationship with the responses and the others predictor have unknown relationship. To overcome this modeling problem we proposed multiresponse semiparametric regression model. This model has more than one response and contains both … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 20 Feb 2013 · 7,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesigning of Child Growth Chart Based on Multi-Response Local Polynomial ModelingNur Chamidah, I. Nyoman Budiantara, Sony Sunaryo, Ismaini ZainProblem statements: Anthropometry measures used to measure physical children growth are not onlyweight but also height and head circumference. In this study we develop the estimation of multi-response localpolynomial regression and apply it to design growth chart for children up to five years old based on three responsevariables i.e., weight, height and head circumference. Approach: Based on local polynomial estimator, … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 4 Sep 2012 · 7,506 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Multi-Scale Filtering to Initialize a Background Extraction ModelS. H. Davarpanah, Fatimah Khalid, N. A. Lili et al.Problem statement: Probability-based methods which usually work based on the saved history of each pixel are utilized severally in extracting a background image for moving detection systems. Probability-based methods suffer from a lack of information when the system first begins to work. The model should be initialized using an alternative accurate method. Approach: The use of a nonparametric filtering to … …Journal of Computer Science, Vol. 8, Issue 7 · 24 May 2012 · 7,276 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeasures of Explained Variation and the Base-Rate Problem for Logistic RegressionDinesh Sharma, Dan McGee, B.M. Golam KibriaProblem statement: Logistic regression, perhaps the most frequently used regression model after the General Linear Model (GLM), is extensively used in the field of medical science to analyze prognostic factors in studies of dichotomous outcomes. Unlike the GLM, many different proposals have been made to measure the explained variation in logistic regression analysis. One of the limitations of these measures … …Current Research in Biostatistics, Vol. 2, Issue 1 · 25 Feb 2012 · 8,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractHeart Rate Variability Analysis in Different Age and Pathological ConditionsM.E.S. Chelladurai, N. KumaravelProblem statement: Heart Rate Variability (HRV) has been used as a measure of mortality primarily with patients who had undergone cardiac surgery. The analysis of Heart Rate Variability (HRV) demands specific capabilities which are not provided either by parametric or nonparametric conventional estimation methods. The Empirical Mode Decomposition (EMD) adaptively estimates the Intrinsic Mode Functions (IMFs) of nonlinear nonstationary signals. … …Journal of Computer Science, Vol. 7, Issue 10 · 4 Aug 2011 · 6,818 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Intraarticular Tramadol Administration on Biochemical and Cytological Properties of Equine Synovial Fluid: Comparison with LidocaineAlireza Raayat Jahromi, Abutorab Tabatabaei Naeini, Saeed NazifiProblem statement: Diagnostic and therapeutic arthroscopic surgeries are procedures performed quite frequently in equine practice; and are considered to cause some degree of postoperative pain. The aim of the present study was to evaluate the equine synovial fluid biochemical and cytological changes following intra-articular administration of tramadol as a potential analgesic. Approach: Six adult healthy donkeys were selected after clinical … …American Journal of Pharmacology and Toxicology, Vol. 6, Issue 1 · 14 Jun 2011 · 7,514 accessesView PDFCite
Research ArticleOpen accessIn the abstractWeighted Kernel Density Estimation of the Prepulse Inhibition TestHongbo Zhou, Qiang Cheng, Hong-Ju Yang, Haiyun XuProblem statement: The goal of this study was to devise a more reliable and sensitive method for analysis of experimental data of the Prepulse Inhibition (PPI), the reduction in startle reaction towards a startle-eliciting “pulse” stimulus when it is shortly preceded by a sub-threshold “prepulse” stimulus. Approach: Different from the conventional simple averaging-based method, we proposed a probabilistic approach to … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,222 accessesView PDFCite