Results 111 to 120 of about 884,004 (326)
ANALISIS PRODUKSI PADI ORGANIK DI KABUPATEN SRAGEN TAHUN 2008
Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan, 2009 The purpose of this study was to analyze factors influencing the production of organic rice that is land area, seed, labor, fertilizer, and water. This study uses OLS analysis tool (ordinary least squares method).
Fajar Widayat Novianto, Eni Setyowati
doaj
Least squares solutions of matrix equation AXB=C under semi-tensor product
Electronic Research ArchiveThis paper mainly studies the least-squares solutions of matrix equation $ AXB = C $ under a semi-tensor product. According to the definition of the semi-tensor product, the equation is transformed into an ordinary matrix equation.
Jin Wang
doaj +1 more source
Parameter Estimation for Long-Memory Stochastic Volatility at Discrete Observation
Abstract and Applied Analysis, 2014 Ordinary least squares estimators of variogram parameters in long-memory stochastic volatility are studied in this paper. We use the discrete observations for practical purposes under the assumption that the Hurst parameter H∈(1/2,1) is known.
Xiaohui Wang, Weiguo Zhang
doaj +1 more source
Adapting to Unknown Disturbance Autocorrelation in Regression with Long Memory [PDF]
We show that it is possible to adapt to nonparametric disturbance auto-correlation in time series regression in the presence of long memory in both regressors and disturbances by using a smoothed nonparametric spectrum estimate in frequency-domain ...
Javier Hidalgo, Peter M Robinson
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Arthritis Care &Research, EarlyView.Objective We aimed to test the efficacy of personalized treatment of older veterans with chronic low back pain (CLBP) delivered by Aging Back Clinics (ABCs) as compared with usual care (UC). Methods Two hundred ninety‐nine veterans aged 65 to 89 with CLBP from three Veterans Affairs (VA) medical centers underwent baseline testing, randomization to ABC ...
Debra K. Weiner +9 more
wiley +1 more source
Exact optimal designs for weighted least squares analysis with correlated errors [PDF]
In the common linear and quadratic regression model with an autoregressive error structure exact D-optimal designs for weighted least squares analysis are determined.
Dette, Holger, Kunert, Joachim
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Arthritis Care &Research, EarlyView.Objective Pulmonary fibrosis (PF) is a severe extra‐articular manifestation of rheumatoid arthritis (RA). This study aimed to externally validate a genetic risk score (GRS) and a combined risk score (CRS) for predicting the risk of RA‐associated PF in an independent cohort of patients with early RA.
Mikael Brink +3 more
wiley +1 more source
Convex Combination of Ordinary Least Squares and Two-stage Least Squares Estimators
, 2015 In the presence of confounders, the ordinary least squares (OLS) estimator is known to be biased. This problem can be remedied by using the two-stage least squares (TSLS) estimator, based on the availability of valid instrumental variables (IVs). This reduction in bias, however, is offset by an increase in variance.
Ginestet, Cedric E. +2 more
openaire +2 more sources
Least Median of Squares Estimation by Optimization Heuristics with an Application to the CAPM and Multi Factor Models [PDF]
For estimating the parameters of models for financial market data, the use of robust techniques is of particular interest. Conditional forecasts, based on the capital asset pricing model, and a factor model are considered.
Chris Sharpe +2 more
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Robust Estimation of a Linearized Nonlinear Regression Model with Heteroscedastic Errors:A Simulation Study [PDF]
, 1998 A simulation study is used to examine the robustness of some estimators on a linearized nonlinear regression model with heteroscedastic errors, namely the Linearized Ordinary Least Squares (LOLS), Transformed Generalized Least Squares (TGLS ...
Midi, Habshah
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