Mixed linear models
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In this paper, the authors present a method to solve these problems. Wherein, the motion of targets is represented in the mixed coordinate system 3D base on combining PHD (Probability Hypothesis Density) and JPDA (Joint Probability Data Association). This method can track multiple targets in the most general case, that is to change the target number, system model and measurement model which is non-linear as the noise is non-Gaussian.
9p viambani 18-06-2024 3 1 Download
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Currently, R is showing its strengths and benefits in data analysis in general and forestry data in particular. R can perform new, difficult and complex statistical analyses such as linear mixed model, replicated point patter analysis, etc. In the forestry data analysis, checking independence between samples and random effects has not been done so far by scientists. This is a really difficult problem in forestry data analysis, because it is an important basis for choosing analytical tools later on.
10p vilarry 01-04-2024 1 0 Download
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This study, we present three-stage supply chain network (SCN) coordination and profit optimization of agricultural products considering uncertainties. Most of the agricultural products are in general cost expensive with high risk in probability due to its fluctuating prices. To develop a Mixed Integer Linear Programming (MILP) model and analyze the situation of insufficient production capacity for the producer as the reason for shortages.
11p longtimenosee07 29-03-2024 5 2 Download
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In this study, we explore reseach methodologi, industry and the aspect of uncertainty. We make an analysis uncertainty for the topic, approach, model formulation and make comparison of uncertainty reseach area. The most used approach and method on uncertainty are Mixed Integer Linear Programing, mixed integer nonlinear Programing, Robust Fuzzy Stochastic Programming, and Improved kriging-assisted robust optimization method. Customer demand, total cost, product returns are the most widely researched aspects.
11p longtimenosee07 29-03-2024 2 2 Download
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Part 2 book "Statistical methods in biology - Design and analysis of experiments and regression" includes content: Dealing with non orthogonality; models for a single variate: simple linear regression; checking model fit; models for several variates - multiple linear regression; models for variates and factors; incorporating structure - linear mixed models; models for curved relationships; models for non normal responses - generalized linear models; practical design and data analysis for real studies.
314p muasambanhan03 02-01-2024 5 2 Download
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This paper focuses on an exact algorithm for solving NP-hard combinatorial optimization problems which frequently requires significant specialized knowledge and trial and error, especially, Mixed Integer Linear Programs (MILP). This challenging, tedious process can be automated by learning the algorithms instead.
6p visystrom 22-11-2023 5 4 Download
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To increase the chances of finding efficacious anticancer drugs, improve development times and reduce costs, it is of interest to rank test compounds based on their potential for human use as early as possible in the drug development process. In this paper, we present a method for ranking radiosensitizers using preclinical data.
19p visharma 20-10-2023 4 2 Download
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This paper proposes a mixed-integer linear programming (MILP) model aiming to optimize the topology of transmission networks considering power loss. The proposed MILP model is converted from the MINLP model using the piecewise linearization technique and precisely linearizing the product of the binary and continuous variables. The objective function of the TNEP problem in this study is to minimize the total cost of the power system, including the investment cost for new transmission lines, maintenance cost, cost related to energy losses loss, and production cost of generators.
9p giangnhanly 02-10-2023 3 3 Download
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Prediction models can be useful tools for monitoring patient status and personalizing treatment in health care. The goal of this study was to compare the relative strengths and weaknesses of 2 different approaches for predicting functional recovery after knee arthroplasty: A neighbors-based “people-like-me” (PLM) approach and a linear mixed model (LMM) approach.
9p vighostrider 25-05-2023 4 2 Download
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In this study, a single-trait genomic model (STGM) is compared with a multiple-trait genomic model (MTGM) for genomic prediction using conventional estimated breeding values (EBVs) calculated using a conventional single-trait and multiple-trait linear mixed models as the response variables.
7p vinarcissa 21-03-2023 4 1 Download
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In this paper, we propose a methodological prospect of mixed linear models to analyze genotype by environment interaction effects using association mapping designs. First, we simulated datasets to assess the power of linear mixed models to detect interaction effects.
12p vinarcissa 21-03-2023 5 1 Download
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In animal breeding, genetic variance for complex traits is often estimated using linear mixed models that incorporate information from single nucleotide polymorphism (SNP) markers using a realized genomic relationship matrix.
16p vinarcissa 21-03-2023 9 1 Download
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We propose a gene-level association test that accounts for individual relatedness and population structures in pedigree data in the framework of linear mixed models (LMMs). Our method data-adaptively combines the results across a class of score-based tests, only requiring fitting a single null model (under the null hypothesis) for the whole genome, thereby being computationally efficient.
5p vihagrid 30-01-2023 11 3 Download
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Longitudinal data and repeated measurements in epigenome-wide association studies (EWAS) provide a rich resource for understanding epigenetics. We summarize 7 analytical approaches to the GAW20 data sets that addressed challenges and potential applications of phenotypic and epigenetic data.
10p vihagrid 30-01-2023 7 3 Download
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The GAW20 group formed on the theme of methods for association analyses of repeated measures comprised 4sets of investigators. The provided “real” data set included genotypes obtained from a human wholegenome association study based on longitudinal measurements of triglycerides (TGs) and high-density lipoprotein in addition to methylation levels before and after administration of fenofibrate.
5p vihagrid 30-01-2023 4 3 Download
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Forest trees can occupy extensive geography and environmentally highly variable areas which result in high genetic variability in the direction of pressure from natural selection. At the same time, the majority of conifer species are wind-pollinated from both short and long distances, resulting in wide-spread gene flow, which can lead to maladaptation to local conditions.
13p vihagrid 30-01-2023 9 3 Download
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In the electricity market operation, wholesale electricity prices or Locational Marginal Prices (LMP) vary according to electric demand (including consumption power consumed, bidding prices and the level of price-sensitivity) as well as the penetration level of the wind power. The variable domain identification of LMP plays a very important role for market participants to assess and mitigate the risk on account of the uncertainty of wind power output forecasting.
5p vispyker 16-11-2022 4 1 Download
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In this article, mixed integer linear programming of python (MIP) is used to model this problem with varying input data. The result shows that with small input data the modelling code of MIP executing quickly and converging to optimal value, while large scale input data require plenty of computation time; thereby algorithm improvement as well as parallel implementation are suggested.
6p viporsche 28-10-2022 4 2 Download
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This paper presents a model for cooptimization of transmission topology and generation dispatch based on a two-stage stochastic optimization. Demand response and renewable energy uncertainty are integrated into the proposed model.
6p vichristinelagarde 04-07-2022 9 1 Download
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With the focus on public sector general building contracting, the objective of the paper "Modeling the heterogeneity in contractors’ mark-up behavior" is to investigate the extent to which heterogeneity exists in practice using a heterogeneous approach to statistical modeling.
10p runordie3 27-06-2022 19 7 Download