Results 11 to 20 of about 890,584 (243)

Phase Unwrapping Error Correction Based on Multiple Linear Regression Analysis

open access: yesSensors, 2023
Fringe projection profilometry (FPP) is prone to phase unwrapping error (PUE) due to phase noise and measurement conditions. Most of the existing PUE-correction methods detect and correct PUE on a pixel-by-pixel or partitioned block basis and do not make
Zhuang Lv   +8 more
doaj   +1 more source

Building a Multiple Linear Regression Model With LEGO Brick Data

open access: yesJournal of Statistics and Data Science Education, 2021
We present an innovative activity that uses data about LEGO sets to help students self-discover multiple linear regressions. Students are guided to predict the price of a LEGO set posted on Amazon.com (Amazon price) using LEGO characteristics such as the
Anna D. Peterson, Laura Ziegler
doaj   +1 more source

Rapid Estimation of Battery Storage Capacity through Multiple Linear Regression

open access: yesBatteries, 2023
Due to global warming issues, the rapid growth of electric vehicle sales is fully expected to result in a dramatic increase in returned batteries after the first use.
Chulwon Jung, Woongchul Choi
doaj   +1 more source

An Application of Fuzzy Multiple Linear Regression in Biological Paradigm

open access: yesComplexity, 2022
The regression model is generally utilized in several fields of study because of its applications. Regression is an extremely incredible approach; it builds up a connection between dependent and independent variables.
Saima Mustafa   +6 more
doaj   +1 more source

Financial Data Quality Evaluation Method Based on Multiple Linear Regression

open access: yesFuture Internet, 2023
With the rapid growth of customer data in financial institutions, such as trusts, issues of data quality have become increasingly prominent. The main challenge lies in constructing an effective evaluation method that ensures accurate and efficient ...
Meng Li, Jiqiang Liu, Yeping Yang
doaj   +1 more source

ANALISIS PENETAPAN NILAI GANTI KERUGIAN PROPERTI KORBAN LUAPAN LUMPUR LAPINDO

open access: yesJEJAK: Jurnal Ekonomi dan Kebijakan, 2015
This research studies the fairness of the agreed compensation property nominal value for the victims of the Sidoarjo mudflow. This research was performed by comparing the agreed nominal amount of compensation with the estimated values based on the ...
B Irawan, A Paranata
doaj   +1 more source

Biomass estimation using LiDAR data

open access: yesInternational Journal of Sustainable Energy Planning and Management, 2018
Forest ecosystems play a very important role in carbon cycle because they suppose one of the biggest carbon reservoirs and sinks. Estimating the aboveground forest biomass is critical to understand the global carbon storage process.
Leyre Torre
doaj   +1 more source

D-optimal experimental designs for linear multiple regression under heteroscedastic observations

open access: yesЖурнал Белорусского государственного университета: Математика, информатика, 2020
The problem of construction of «continuous» (number of observations is not fixed) and «exact» (number of observations is fixed) D-optimal experimental designs for linear multiple regression in the case when variance of errors of observations depends on ...
Valery P. Kirlitsa
doaj   +1 more source

Pedotransfer functions for estimating the van Genuchten model parameters in the Cerrado biome [PDF]

open access: yesRevista Brasileira de Engenharia Agrícola e Ambiental, 2022
The Cerrado biome has presented challenges in reconciling its agricultural expansion with water availability. In this sense, water resources planning and management are fundamental for the economic, social, and environmental development of the Cerrado ...
Mariana F. Veloso   +4 more
doaj   +1 more source

Multiple Linear Regression versus Automatic Linear Modelling

open access: yesArquivo Brasileiro de Medicina Veterinária e Zootecnia
In this study, performances of Multiple Linear Regression and Automatic Linear Modelling are compared for different sample sizes and number of predictors. A comprehensive Monte Carlo simulation study was carried out for this purpose.
S. Genç, M. Mendeş
doaj   +1 more source

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