Results 41 to 50 of about 676,778 (198)
Localisation of sensor nodes with hybrid measurements in wireless sensor networks [PDF]
, 2016 Localisation in wireless networks faces challenges such as high levels of signal attenuation and unknown path-loss exponents, especially in urban environments.
Andrew Kemp +6 more
core +4 more sources
EEG sleep stages identification based on weighted undirected complex networks [PDF]
, 2020 Sleep scoring is important in sleep research because any errors in the scoring of the patient's sleep electroencephalography (EEG) recordings can cause serious problems such as incorrect diagnosis, medication errors, and misinterpretations of patient's ...
Abdulla, Shahab +2 more
core +1 more source
PEMODELAN PROPORSI PENDUDUK MISKIN KABUPATEN DAN KOTA DI PROVINSI JAWA TENGAH MENGGUNAKAN GEOGRAPHICALLY AND TEMPORALLY WEIGHTED REGRESSION [PDF]
, 2014 Regression analysis is a statistical analysis that aims to quantify the effect of predictor variables on the response variable. Geographically Weighted Regression (GWR) is a local form of regression and a statistical method used to analyze spatial data ...
Widiyanti, Khusnul Yeni
core +2 more sources
Performance evaluation of GPS / BDS combined single-point positioning based on RTKLIB [PDF]
E3S Web of Conferences, 2020 In order to evaluate the performance of GPS / BDS, RTKLIB, an open-source software of GNSS, is used in this paper. In this paper, the least square method, the weighted least square method and the extended Kalman filter method are respectively applied to ...
Yan-yi Li, Jin Huang, Ming-xiu Tang
doaj +1 more source
Weighted Semiparameter Model and Its Application
Journal of Applied Mathematics, 2014 A weighted semiparameter estimate model is proposed. The parameter components and nonparameter components are weighted. The weights are determined by the characters of different data.
Zhengqing Fu +3 more
doaj +1 more source
Modified Robust M-approach to estimate the parameters of linear Regression model [PDF]
المجلة العراقية للعلوم الاحصائية, 2009 The idea of this research is to find construction Weighted Robust for the estimate parameters of the linear regression model by blend Robust M- approach and Weighted Least Squares method to handle the influence of Outlier Values, which don't harmonies ...
doaj +1 more source
PENERAPAN METODE WEIGTHED LEAST SQUARE UNTUK MENGATASI HETEROSKEDASTISITAS PADA ANALISIS REGRESI LINEAR [PDF]
, 2016 Analisis regresi merupakan analisis statistik yang mempalajari bagaimana memodelkan regresi linear. Jika model regresi linear memenuhi uji asumsi klasik dengan metode OLS maka mempunyai sifat BLUE (Beast Linear Unbiased Estimator).
Hanifah, Nurul
core
Nihon Kikai Gakkai ronbunshu, 2019 The experimental modal analysis is widely used to identify the modal parameters: natural frequency, damping characteristics and mode shape, in the structural dynamic analysis. The existing method, however, is not adequate when the damping characteristics
Masami MATSUBARA +3 more
doaj +1 more source
Algorithm of variance estimation in weighted least squares method
Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2023 The representation of a time series model as a piecewise-stationary process is provided, wherein it is regarded as a collection of successive stationary intervals. An algorithm has been developed for identifying the domain containing the trend within this model. It is recognized that applying the least squares method directly for trend determination is
Aleksander V. Prasolov +2 more
openaire +1 more source