Results 61 to 70 of about 4,885,621 (179)
On A Conjecture By Russo [PDF]
, 1999 The Smarandache Square-Partial-Digital Subsequence(SSPDS) is the sequence of square integers which can be partitioned so that each element of the partition is a perfect ...
Ashbacher, Charles
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SHS Web of Conferences, 2017 Theories are developed to explain an observed phenomenon in an effort to understand why and how things happen. Theories thus, use latent variables to estimate conceptual parameters.
Ibrahim Mohd Tarmizi, Roni Saiyidi Mat
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Tensor Envelope Partial Least-Squares Regression
Technometrics, 2017 Partial least squares (PLS) is a prominent solution for dimension reduction and high-dimensional regressions. Recent prevalence of multidimensional tensor data has led to several tensor versions of the PLS algorithms. However, none offers a population model and interpretation, and statistical properties of the associated parameters remain intractable ...
Xin Zhang 0132, Lexin Li
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, 2012 Due to the health impacts caused by exposures to air pollutants in urban areas, monitoring and forecasting of air quality parameters have become popular as an important topic in atmospheric and environmental research today.
Shafie Pour Motlagh, Majid +3 more
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On the Use of Formative Measurement Specifications in Structural Equation Modeling: A Monte Carlo Simulation Study to Compare Covariance-Based and Partial Least Squares Model Estimation Methodologies [PDF]
The broader goal of this paper is to provide social researchers with some analytical guidelines when investigating structural equation models (SEM) with predominantly a formative specification. This research is the first to investigate the robustness and
Ringle, Christian M. +3 more
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Pemodelan otentikasi komposisi fitofarmaka tensigard menggunakan regresi partial least square [PDF]
, 2008 Pemodelan kalibrasi menggambarkan bubungan antara absorban pada panjang gelombang tertentu sebagai peubah penjelas (X) dengan konsentrasi larutan unsur atau senyawa yang dianalisis sebagai peubah respon (Y).
Fedri, Rikola
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Kernel partial least squares for stationary data
J. Mach. Learn. Res., 2017 We consider the kernel partial least squares algorithm for non-parametric regression with stationary dependent data. Probabilistic convergence rates of the kernel partial least squares estimator to the true regression function are established under a source and an effective dimensionality condition.
Singer, Marco +2 more
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E-Jurnal Matematika, 2019 Schizophrenia is a psychotic disorder characterized by major disorders in the mind and emotions. People with schizophrenia (ODS) can experience recurrence if they do not receive proper care. The latent variable used in this study was ODS reccurence.
IRA INDRIYANTI +2 more
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Pemodelan Ketahanan Pangan Indonesia dengan Menggunakan Partial Least Square Path Modelling (PLS-PM)
, 2012 More priority to food security for every individual to gain access to nutritious food and its absorption by the achievement of a healthy and productive life.
Ningsi, Besse Arna wisuda
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A robust partial least squares method with applications [PDF]
Partial least squares regression (PLS) is a linear regression technique developed to relate many regressors to one or several response variables. Robust methods are introduced to reduce or remove the effect of outlying data points.
Javier Gonzalez +2 more
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