weighted-least-squares

There are 0 repository under weighted-least-squares topic.

DynAdjust
GeoscienceAustralia / DynAdjust
Least squares adjustment software
least-squares partial-least-squares nonlinear-least-squares weighted-least-squares linear-least-squares xsd geodesy geodesyml reference-frame surveying geoid generic-mapping-tools network-segmentation fast tbb multithreading mkl xercesc
Language:C++ 75
mcosovic / JuliaGrid.jl
JuliaGrid is an easy-to-use power system simulation tool for researchers and educators provided as a Julia package.
power-systems state-estimation power-flow measurements data-set gauss-newton-method newton-raphson phasor-measurement-unit bad-data outlier-detection weighted-least-squares least-absolute-value observability-analysis simulation sparseinv julia julia-language optimal-power-flow scada wams
Language:Julia 38
mcosovic / MATGRID
MATGRID is an easy-to-use power system simulation tool for researchers and educators provided as a MATLAB package.
power-systems state-estimation power-flow measurements data-set gauss-newton-method newton-raphson phasor-measurement-unit bad-data outlier-detection weighted-least-squares least-absolute-value observability
Language:MATLAB 32
akapet00 / normal-estimation
Comparison of a few different methods for estimating surface normals in a point cloud.
b-spline-surface computer-graphics geometry-processing normal-estimation pca point-cloud surface-reconstruction weighted-least-squares
Language:Jupyter Notebook 5
smasuti / gls
Generalized least squares method which takes uncertainties in both dependent and independent variables.
least-squares weighted-least-squares
Language:MATLAB 3
rogerfraser / DynAdjust
Least squares adjustment software
least-squares partial-least-squares nonlinear-least-squares weighted-least-squares linear-least-squares xsd geodesy geodesyml reference-frame surveying geoid generic-mapping-tools network-segmentation fast tbb multithreading mkl xercesc
Language:C++ 1
elvano22 / Poverty-Analysis
geographically-weighted-regression poverty-prediction r regression-analysis weighted-least-squares
0
noahk587 / Washington-D.C.-Bike-Rental-Prediction
Project conducted in STAT 4355.001.S22. Utilized the R Programming Language to determine a multi-linear model fitting to predict the number of bike rentals. Determined the appropriate attributes that significantly influenced the number of bike rentals. Collaboration with three other classmates.
anova multi-linear-regression variable-selection weighted-least-squares
Language:R 0
SrotoshiGhosh / Bayesian-Inference-and-MCMC
Various codes centered around problems in Bayesian inference, Bayesian Linear Regression, and Bayesian Non-Linear Parameter Estimation using the application of various Markov Chain Monte Carlo Algorithms
bayesian-inference bayesian-statistics central-limit-theorem cosmological-parameters cosmology gradient-descent linear-regression ordinary-least-squares parameter-estimation posterior-distributions posterior-predictive weighted-least-squares chisquare-contours
Language:Python 0
entorb / eta-vue
ETA (estimated time of arrival) and MultiTimer, written in Vue.js
eta vite vitest vue vue3 vuetify estimated-time-of-arrival pwa stopwatch mdi typescript weighted-least-squares weighted-linear-regression multitimer vue-router echarts
Language:TypeScript
rajtulluri / Predicting-Car-Prices
Predicting Car prices given the various characteristics
predicting-car-prices python3 knearest-neighbor-algorithm linear-regression lasso-regression ridge-regression elastic-net weighted-least-squares
Language:Jupyter Notebook
RoryQo / PGH-Neighborhood-Housing-Price-Research
This research analyzes housing price trends across different Pittsburgh neighborhoods using regression models, Weighted Least Squares (WLS), ANOVA, and ANCOVA. The goal is to explore key factors influencing property values, address heteroskedasticity, and compare housing price variations across neighborhoods.
ancova anova-test geospatial-visualization housing-prices weighted-least-squares
Language:Jupyter Notebook
Sujith-DA279 / TurtleGames_Prediction_Analysis
An in-depth analysis of a gaming retailer's customer data to improve overall sales performance through enhanced understanding of customer behavior and loyalty patterns.
cross-tabulation decisiontreeregressor ggplot2 gridsearchcv k-means-clustering lmtest ols-regression-model pandas-python plotly predictive-analytics python r scikit-learn seaborn-plots statsmodels textblob-sentiment-analysis vader-sentiment-analysis weighted-least-squares
Language:Jupyter Notebook