Results 11 to 20 of about 890,584 (243)
Phase Unwrapping Error Correction Based on Multiple Linear Regression Analysis
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
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Building a Multiple Linear Regression Model With LEGO Brick Data
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
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Rapid Estimation of Battery Storage Capacity through Multiple Linear Regression
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
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An Application of Fuzzy Multiple Linear Regression in Biological Paradigm
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
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Financial Data Quality Evaluation Method Based on Multiple Linear Regression
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
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ANALISIS PENETAPAN NILAI GANTI KERUGIAN PROPERTI KORBAN LUAPAN LUMPUR LAPINDO
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
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Biomass estimation using LiDAR data
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
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D-optimal experimental designs for linear multiple regression under heteroscedastic observations
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
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Pedotransfer functions for estimating the van Genuchten model parameters in the Cerrado biome [PDF]
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
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Multiple Linear Regression versus Automatic Linear Modelling
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
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