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Model Regresi Nonparametrik Deret Fourier Pada Kasus Tingkat Pengangguran Terbuka Di Sulawesi Selatan
Kasus pada penelitian menunjukkan fungsi dari bentuk kurva antara peubah respon dan
peubah prediktor tidak diketahui. Ketidakjelasan bentuk kurva tersebut menjadi …
peubah prediktor tidak diketahui. Ketidakjelasan bentuk kurva tersebut menjadi …
Evaluation of the Performance of Kernel Non-parametric Regression and Ordinary Least Squares Regression
AM Sadek, LA Mohammed - JOIV: International Journal on Informatics …, 2024 - joiv.org
Researchers need to understand the differences between parametric and nonparametric
regression models and how they work with available information about the relationship …
regression models and how they work with available information about the relationship …
Weighted Trimean as a Regressor in the Estimate of Theil-Sen Regression
NA Erilli - International Journal of Innovative Technology and …, 2022 - journals.tultech.eu
The most used method in nonparametric regression analysis is the Theil-Sen approach.
With this method, all coefficient estimations are made with the median parameter as …
With this method, all coefficient estimations are made with the median parameter as …
Mask compliance modeling related COVID-19 in Indonesia using spline nonparametric regression
C Imama, MH Adriansyah, H Prayogi… - Jurnal …, 2022 - journal.universitasbumigora.ac.id
Until now, Coronavirus disease (COVID-19) has become a concern for Indonesia because
of its significant development and impact on various sectors of life and hampering the target …
of its significant development and impact on various sectors of life and hampering the target …
Evaluating the Performance of Ordinary Least Square and Polynomial Regression with Respect to Sample Size.
N Garba, NS Danchadi, MK Abdulmumin - International Journal Of …, 2021 - go.gale.com
The evaluation of Ordinary Least Squares (OLS) and polynomial regression (PR) on their
predictive performance was studied. We used simulated data to evaluate the performance of …
predictive performance was studied. We used simulated data to evaluate the performance of …
[KNYGA][B] The Impact of Logistics Service Quality (LSQ), Relationship Marketing (RM) and Relationship Power (RP) on Customer Satisfaction in the Jordanian Third …
AFO Taha - 2019 - search.proquest.com
Abstract Logistics Service Quality (LSQ), Relationship Power (RP) and Relationship
Marketing (RM) are regarded as the most important criteria leading to customer satisfaction …
Marketing (RM) are regarded as the most important criteria leading to customer satisfaction …
[PDF][PDF] Parametric versus nonparametric simple linear regression on data with and without outliers
O Idochi, O Jude, OC Amarachi… - International Journal of …, 2016 - ijism.org
Parametric Simple Linear Regression on Data With and without Outliers. Data used for this
study were collected from the department of Mass Communication, Imo State University …
study were collected from the department of Mass Communication, Imo State University …
[HTML][HTML] Взаимосвязь между уровнем ожидаемой волатильности и мультипликаторами на рынке акций США
СГ Манукян, АН Курбацкий… - Финансы и …, 2023 - cyberleninka.ru
Предметом исследования данной статьи является выявление взаимосвязи между
финансовыми мультипликаторами и ожидаемой волатильностью (implied volatility) …
финансовыми мультипликаторами и ожидаемой волатильностью (implied volatility) …
[KNYGA][B] Optimizing local least squares regression for short term wind prediction
ES Keith - 2015 - search.proquest.com
Highly variable wind velocities in many geographical areas make wind farm integration into
the electrical grid difficult. Since a turbine's electricity output is directly related to wind speed …
the electrical grid difficult. Since a turbine's electricity output is directly related to wind speed …
On the Theory and Pliability of Regressogram Decomposition: Application and Simulation Sensitivity of the Olanrewaju-Olanrewaju Kernel-Based Regressogram
R Olanrewaju, S Olanrewaju - Iraqi Statisticians journal, 2025 - isj.edu.iq
This paper studies the pliability of regressogram decomposition as a technique of modeling
bivariate random measurements of (X_1, Y_1),…,(X_n, Y_n) either via equal-width bins or …
bivariate random measurements of (X_1, Y_1),…,(X_n, Y_n) either via equal-width bins or …