Results 81 to 90 of about 300,687 (184)
PEMODELAN UPAH MINIMUM KABUPATEN/KOTA DI JAWA TENGAH BERDASARKAN FAKTOR-FAKTOR YANG MEMPENGARUHINYA MENGGUNAKAN REGRESI RIDGE [PDF]
The least squares method is a regression parameter estimation method for simple linear regression and multiple linear regression. This method produces no bias and variance estimator minimum if no multicollinearity.
HILDAWATI, HILDAWATI
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Multicollinearity and Imprecise Estimation
Summary For the standard linear model containing several explanatory variables, the precision of estimation of linear parametric functions is analysed in terms of latent roots and vectors of X'X, where X is the matrix of values of explanatory variables.
openaire +2 more sources
The performance of ordinary least squares (OLS) and ridge regression (RR) are influenced when outliers are present in y-direction with multicollinearity among independent variables. The robust RR with ridge parameters provides a biased estimator that has
doaj +1 more source
Predictive regression models often face a common challenge known as multicollinearity. This phenomenon can distort the results, causing models to overfit and produce unreliable coefficient estimates.
Muteb Faraj Alharthi, Nadeem Akhtar
doaj +1 more source
Analisis Pengaruh Brand Equity Terhadap Keputusan Pembelian Konsumen Pada Produk Gula Tropicana Slim Di Palembang [PDF]
This research aims to test the influence of brand equity towards decision purchase consumers on product Tropicana Slim in Palembang. Variable brand equity is divided into four, namely brand awareness, brand loyalty, brand association, and perceive ...
Setiawan, Hendra Agus
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ESTIMATING RETURNS TO AGRICULTURAL RESEARCH, EXTENSION, AND TEACHING AT THE STATE LEVEL [PDF]
The majority of decisions concerning investment and allocation of public funds for agricultural research, extension, and teaching (RET) are made at the state-level, while most of the quantitative RET evaluations are made on a national basis.
Coffey, Joseph D. +2 more
core +1 more source
This study tackles the common issues of multicollinearity arising in regression models due to high correlations among predictor variables, leading to unreliable coefficient estimates and inflated variances, ultimately affecting the model’s accuracy.
Muteb Faraj Alharthi, Nadeem Akhtar
doaj +1 more source
Poisson regression is used to model count response variables. The method has a strict assumption that the mean and variance of the response variable are equal, while, in practice, the case of overdispersion is common.
Rasha A. Farghali +4 more
doaj +1 more source
The Market for Television Advertising: Model and Evidence [PDF]
We provide a model of television advertising based on an explicit characterization of an advertisement's contribution to an advertiser's profits that suggests that each program faces a downward sloping demand for its ad time. Hence Fournier and Martin's (
B. McCullough +2 more
core +1 more source
PENGARUH KUALITAS PRODUK, KUALITAS LAYANAN DAN PERSEPSI HARGA TERHADAP KEPUASAN PELANGGAN PADA WARUNG AYAM PANGGANG BANGI [PDF]
This research aims to determine product quality (X1), service quality (X2), and price perception (X3) on customer satisfaction (Y) at the Bangi Grilled Chicken Restaurant. Sample of 200 people.
Ana, Ratna Dwi Feby
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