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116 articles for “M-estimator”
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Research ArticleOpen accessIn the abstractEstimation of the Case Fatality Ratio of Middle East Respiratory Syndrome based on Patients' Comorbidities with Application to the MERS-CoV Epidemics in the Republic of Korea, 2015Changhyuck Oh, Seonyeong HwangIn an early stage of the course of the Middle East Respiratory Syndrome Coronavirus (MERS-CoV) outbreak in Korea in 2015, the Centers for Disease Control and Prevention of Korea and several studies reported estimated Case Fatality Ratios (CFRs) that were significantly different. Here, we propose an estimation method based on the commonly quoted naive estimator of CFR utilizing the number … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 14 Nov 2016 · 7,463 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Channel Estimation and Performance Analysis Using H-Infinity Filter for MIMO-Orthogonal Frequency Division Multiplexing SystemsJoseph Gladwin Sekar, Salivahanan SankarappanThis paper, deals with H-infinity channel estimation technique for Orthogonal Frequency Division Multiplexing (OFDM) systems, in fading channel. Channel estimation is important for wireless applications because, in practical transmission scenario, channel correlation functions are either not known or cannot be easily estimated. It is therefore desirable to have an estimator which is robust to mismatches between the assumed and the … …Journal of Computer Science, Vol. 11, Issue 2 · 29 Jan 2015 · 6,827 accessesView PDFCite
Research ArticleOpen accessIn the abstractNEURO FUZZY BASED PERFORMANCE ANALYSIS OF MULTIBAND ULTRA WIDE BAND ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING SYSTEMG. Joselin Retna Kumar, K. S. ShajiThis study proposes an efficient channel-estimation scheme for Multiband (MB) Orthogonal Frequency Division Multiplexing (OFDM)-based Ultra Wide Band (UWB) communication systems. One of the challenges in wireless system is the frequency selective fading caused due to multipath channel between the transmitter and receiver. The signal bandwidth in broad band cellular wireless systems typically exceeds the coherence bandwidth of the multipath … …Journal of Computer Science, Vol. 10, Issue 8 · 5 Mar 2014 · 6,624 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN EFFECTIVE TECHNIQUE OF MULTIPLE IMPUTATION IN NONPARAMETRIC QUANTILE REGRESSIONYanan Hu, Qianqian Zhu, Maozai TianIn this study, we consider the nonparametric quantile regression model with the covariates Missing at Random (MAR). Multiple imputation is becoming an increasingly popular approach for analyzing missing data, which combined with quantile regression is not well-developed. We propose an effective and accurate two-stage multiple imputation method for the model based on the quantile regression, which consists of initial imputation … …Journal of Mathematics and Statistics, Vol. 10, Issue 1 · 4 Jan 2014 · 6,819 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Channel Estimation Technique for Complexity Reduction of Least Minimum Mean Square ErrorHany Mohamed El-Ansary, Hussein Ghouz, Ashraf Mamdouh Aziz, Gamal MabroukChannel estimation technique is to predict the frequency response of the radio channel using pilot signal. Channel estimation technique is important part of LTE receiver design. Such technique is used to recover the transmitted signal correctly and to know how the channel conditions are changed over frequency and time. Each channel estimator has a specified complexity computed according to its … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 7,007 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 · 7,071 accessesView PDFCite
Research ArticleOpen accessIn the abstractUse of Quinolones in Bull Semen Extenders to Reduce Sperm Deoxyribonucleic Acid DamageClara Gonzalez-Marin, Michael Eduard Kjelland, Rosa Roy et al.Cryopreserved sperm samples from Holstein bulls (n = 20) were examined for bacterial presence and Sperm DNA Fragmentation (SDF) dynamics. SDF was assessed after thawing (T0) and at 4, 24 and 48 h of incubation (37°C) and the rate of SDF (r-SDF), as an estimator of the DNA degradation over time, was calculated. Two groups of bulls were identified based … …American Journal of Animal and Veterinary Sciences, Vol. 7, Issue 4 · 29 Dec 2012 · 7,433 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpline Smoothing for Multi-Response Nonparametric Regression Model in Case of Heteroscedasticity of VarianceBudi Lestari, I. Nyoman Budiantara, Sony Sunaryo, Muhammad MashuriProblem statement: Assume that data (yki, tki), k = 1,2,…, p; i = 1,2,…,nk where nk represents the number of repeated measurement of kth object follows multi-response nonparametric regression model with variances of errors are heteroscedastic. Nonparametric regression curves are unknown and assumed to be smooth which are contained in Sobolev space. Random Errors are independent and normally distributed with … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 13 Oct 2012 · 7,960 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Robust Hybrid Approach to Enhance Speech in Mobile Communication SystemsManimegalai Govindan Sumithra, Keppana Gounder Thanuskodi, Bharathi DeepaProblem statement: The received voice signal in mobile communication is often disturbed by background noise and hence there is a need for good noise reduction methods for enhancing Speech. It is well known that denoising is a compromise between the removal of the largest possible amount of noise and the preservation of signal integrity. To address this issue, a new … …American Journal of Applied Sciences, Vol. 8, Issue 4 · 18 Apr 2011 · 7,305 accessesView PDFCite
Research ArticleOpen accessIn the abstractBootstrap Method for Dependent Data Structure and Measure of Statistical PrecisionT. O. Olatayo, G. N. Amahia, T. O. ObiladeProblem statement: This article emphasized on the construction of valid inferential procedures for an estimator θ^ as a measure of its statistical precision for dependent data structure. Approach: The truncated geometric bootstrap estimates of standard error and other measures of statistical precision such as bias, coefficient of variation, ratio and root mean square error are considered. Results: We extend it … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 30 Jun 2010 · 7,261 accessesView PDFCite