gnu-octave/statistics-resampling Fork of acp29/iboot

A statistics package with a variety of bootstrap and other resampling tools

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easystats/parameters

:bar_chart: Computation and processing of models' parameters

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vadimtyuryaev/RegrCoeffsExplorer

A tool for visualizing the coefficients of various regression models, taking into account empirical data distributions.

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stats9/R_Fancy

In this repository, software applications in simulation and visualization for various applications are presented with interesting examples.

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scikit-learn-contrib/MAPIE

A scikit-learn-compatible module for estimating prediction intervals.

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scikit-hep/resample

Randomization-based inference in Python

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pub-calculator-io/sample-size-calculator

Free WordPress Plugin: This sample size calculator enables you to calculate the minimum sample size and the margin of error. Learn about sample size, the margin of error, & confidence interval. www.calculator.io/sample-size-calculator/

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moderndive/ModernDive_book

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

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Alcampopiano/hypothesize

Robust statistics in Python

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kolesarm/RDHonest

Honest inference in regression discontinuity designs

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saattrupdan/doubt

Bringing back uncertainty to machine learning.

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aangelopoulos/ppi_py

A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

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henrikbostrom/crepes

Conformal classifiers, regressors and predictive systems

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cwendorf/EASI

Estimation Approach to Statistical Inference [R Package]

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insysbio/LikelihoodProfiler.jl

LikelihoodProfiler is a Julia package for practical identifiability analysis and confidence intervals evaluation.

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xdefago/stats-ci

Rust crate to compute confidence intervals of various kinds.

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CTU-Bern/presize

Precision Based Sample Size Calculation

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spatstat/spatstat.model

Sub-package of spatstat containing functionality for parametric modelling and inference

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spatstat/spatstat.explore

Sub-package of spatstat providing functions for exploratory and nonparametric data analysis

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RobinDenz1/adjustedCurves

An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative incidence functions (data with competing risks) using various methods.

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jeksterslab/semmcci

semmcci: Monte Carlo Confidence Intervals in Structural Equation Modeling

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jeksterslab/betaMC

betaMC: Generates Monte Carlo confidence intervals for standardized regression coefficients for models fitted by lm().

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jeksterslab/betaSandwich

betaSandwich: Robust Confidence Intervals for Standardized Regression Coefficients

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jeksterslab/betaDelta

betaDelta: Confidence Intervals for Standardized Regression Coefficients

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usnistgov/FCpy

Feldman-Cousins Confidence Interval Calculation

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vi/wilson

Simple Rust library to calculate Wilson confidence interval using the formula from Wikipedia.

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jeksterslab/betaNB

betaNB: Generates nonparametric bootstrap confidence intervals for standardized regression coefficients and other effect sizes for models fitted by lm().

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wkeilsohn/Standard-Error-Confidence-Intervals-T-tests

R file that looks at standard error, confidence intervals, and t-tests in a data set.

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Sreeja-Macha/AdvStats-TV-Product-Analysis-Suite

Explore consumer preferences & valuations for TV products with Conjoint & Bootstrapped Willingness-To-Pay analysis. Compare and analyze own design against competition for an edge! Enhance your product strategy!

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hrishabht5/COVID-19-Claims-analysis

This R script analyses COVID-19 data focusing on death rates, age, and gender effects on mortality. It computes descriptive statistics, cleans data, calculates death rates, performs hypothesis testing, and evaluates claims regarding age and gender effects on death.

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quantPsych/rmediation

This is the repository for the RMediation package.

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SidraEffendi/Quantitative-Methods-of-Program-Evaluation

Used R to implement concept of causal inference, confidence intervals, etc.

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Ellwood12/Internship-AirForce-21

During my time at my internship, I had the opportunity to learn about Profile Likelihood-at alternative approach to Wald's Confidence Intervals. On this report, I demonstrate what I was able to learn along with code and plots to illustrate concepts.

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Ferrariagustinpablo/Statistic-related-Python

Statistical analyses on datasets

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dmetivie/RobustMeans.jl

Implement some Robust Mean Estimators

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japlete/foostrap

Fast bootstrap resampling in Python

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ShaikRiyazSandy/Basic-Statistics_Level-2

Assignment Advance Stats

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mayer79/confintr

R package for calculation of standard and bootstrap confidence intervals

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sohbatSandhu/Impact-of-Tobacco-Usage-On-Potential-Heart-Failure-Patients

Statistical Inference for Data Science: UBC Term Project (2022W) - Inferential Analysis

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Nazaniiin/AB_Testing

:date: :pencil2: A/B Testing / Analysing the effect of 'free trial period' for students to measure whether they enroll or continue to finish a course or not

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ledell/cvAUC

Computationally efficient confidence intervals for cross-validated AUC estimates in R

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zadrafi/concurve

A repository for the 'concurve' R package which generates confidence distributions and likelihood functions. Includes documentation on how to do produce similar graphs for Stata.

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juliangehring/Bootstrap.jl

Statistical bootstrapping library for Julia

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AidasBat/biostatistics

Biostatistical analysis #R

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feerci/feerci

FEERCI: A Package for Fast non-parametric confidence intervals for Equal Error Rates

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bergio13/ConfSets.jl

Compute confidence Intervals (CLT, Chebyshev, Hoeffding) and Confidence Seqeunces (in a sequential setting if needed) in Julia

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Nikhilsen29/-Walmart---Confidence-Interval-and-CLT

.Business Case: Walmart - Confidence Interval and CLT

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acpennlab/statistics-resampling Fork of gnu-octave/statistics-resampling

A statistics package with a variety of bootstrap and other resampling tools. This repository is synced to the same-named repository owned by GNU-Octave. It exists to facilitate publication of the developmental version of the statistics-resampling toolbox at MathWorks FileExchange.

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DanielVandH/ProfileLikelihood.jl

Methods for profile likelihood analysis.

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subash-ramasamy/Walmart-Confidence-Interval-and-CLT

Conducted comprehensive data analysis on walmart data, including structure examination, null value detection, and outlier identification in the dataset. Explored and compared average spending patterns among 50 million female and male customers, to derive confidence intervals and provide actionable insights for Walmart's strategic decisions.

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Jeevesh8/GHI-prediction

PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.

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MatthewBJane/guide-to-effect-sizes-and-confidence-intervals

Repository for the online book "Guide to Effect Sizes and Confidence Intervals"

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Scrayil/GlobClus_prop-Analysis

This aim of this project is to analyze globular star clusters in the Milky Way, in order to understand their dynamics. The conducted study examined the properties that affect the central velocity dispersion, their impact and the correlations between them.

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saikrishnabudi/Basic-Statistics-Level-2

Data Science - Statistics Work Level-2

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saikrishnabudi/Basic-Statistics-Level-1

Data Science - Statistics Work Level-1

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BalajiN743/Basic-Statictics-02

Solutions for the basic statictics problems

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BalajiN743/Basic-Statictics-lvl-1

Basic Statistics-01 Solution for Questions on Basic statistics

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XXinZ28/Statistical_Methods_Final_Report

This is the final written report for Statistical Methods course

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Taaniya/bayesian-statistics-coursera

This repository contains work on Coursera course - Bayesian Statistics including the experiments run for conceptual understanding, links that I found useful for reference and assignment and quiz solutions.

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Uwalakac1/Stat-Inference

Past stastical inference projects in R

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suvasama/presRandomForests

Code for my talk on regression trees, prediction power and generating confidence intervals.

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Mephistopheles-0/toothgrow-stat-analysis

A Basic Statistical Analysis of the ToothGrowth Dataset (The Effect of Vitamin C on Tooth Growth in Guinea Pigs)

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TomDonoghue/bootstrap

Basic bootstrapping for estimation statistics.

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tejaswi-swarna-98/Confidence-Interval-CLT-Retail-Superstore

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junyuan-chen/ConfidenceBands.jl

Confidence bands for simultaneous statistical inference

Language: Julia - Size: 58.6 KB - Last synced: 14 days ago - Pushed: over 1 year ago - Stars: 8 - Forks: 1

Qian-Yu-2020/Experimental-Design-and-Regression-Analysis

SPSS statistical software package. Includes Hypothesis Testing, Multiple Comparison Tests, and Interaction in Regression

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emilymaitan/DAS_UE7 📦

Programming assignment for the DAS (Data Analysis and Statistics) course.

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johnathanalyst/MNIST-Polynomial-Regression-Classifier

Polynomial Regression hand-written digit classifier that can recognize digits from the MNIST dataset.

Language: Python - Size: 11.9 MB - Last synced: 7 months ago - Pushed: about 4 years ago - Stars: 2 - Forks: 0

marcotav/exploratory-data-analysis

This repo contains a detailed exploratory analysis of the West Nile Virus outbreak in the US and a statistical analysis of SAT and ACT decline in participation rates.

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NikhilaThota/Stats_analysis_hospital_readmissions

Used statistical measures to determine if the rate of re admissions for hospitals are high, if yes, what steps can be taken to bring the rate down.

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NikhilaThota/Stat_analysis_recruiter_calls

Statistical Analysis is used to determine if race plays an important role in callback rates (from recruiters)

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ryanschaub/Dr.-Semmelweis-and-the-Discovery-of-Handwashing

In this notebook, we're going to reanalyze the data that made Semmelweis discover the importance of handwashing. Let's start by looking at the data that made Semmelweis realize that something was wrong with the procedures at Vienna General Hospital.

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ashishyadav24092000/Prediction-And-Confidence-interval-LinearRegression

Plotting of the Confidence interval and Prediction interval for a Linear Regression model.

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ashishyadav24092000/ICE_CREAM_VENDOR_CONFIDENCEINTERVAL_AND_PREDICTIONINTERVAL_REGRESSION

In this we have coded in python to get the regression equation and find the confidence interval and prediction interval.

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vaitybharati/Inferential-Statistics

Inferential Statistics using Confidence Interval

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vaitybharati/P14.-Confidence-Interval-for-Stocks

Find confidence intervals for Beml and Glaxo stocks. Confidence Interval Estimate

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vaitybharati/P12.-C.I.E-using-z-values-Confidence-Interval-Estimate-

credit card launch example sample mean: 1990 sample SD: 2833 Pop SD: 2500 Pop mean: ? n=140 Q: Construct 95% confidence interval for mean card balance and interpret it

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vaitybharati/P13.-C.I.E-using-t-values-Confidence-Interval-Estimate-

credit card launch example sample mean: 1990 sample SD: 2833 Pop mean: ? n=140 (In cases, where pop SD is not known, use t-values and practically in all problems prefer t over z) Q: Construct 95% confidence interval for mean card balance and interpret it

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vaitybharati/Confidence-Interval

Confidence-Interval

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vaitybharati/Assignment-1-Q11-Basic-Statistics-Level-1-

Q11) Suppose we want to estimate the average weight of an adult male in Mexico. We draw a random sample of 2,000 men from a population of 3,000,000 men and weigh them. We find that the average person in our sample weighs 200 pounds, and the standard deviation of the sample is 30 pounds. Calculate 94%,98%,96% confidence interval?

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vaitybharati/Assignment-1-Q23-Basic-Statistics-Level-1-

Q 23) Calculate the t scores of 95% confidence interval, 96% confidence interval, 99% confidence interval for sample size of 25

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vaitybharati/Assignment-1-Q22-Basic-Statistics-Level-1-

Q 22) Calculate the Z scores of 90% confidence interval,94% confidence interval, 60% confidence interval for Adipose Tissue (AT) and Waist Circumference(Waist) from wc-at data set

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johnbrendanowens/Chi-Square-Tests-Confidence-Intervals-Kolmogorov-Smirnov-Tests-and-Shapiro-Wilk-Normality-Tests

This is a homework I did in the Spring 2017. It involves conducting Chi Square Tests, Confidence Intervals, Kolmogorov-Smirnov Tests, and Shapiro-Wilk Normality Tests. It has problem numbers that are associated to problems in "Using R: Introductory Statistics".

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hhentschke/measures-of-effect-size-toolbox

Collection of Matlab functions for the computation of measures of effect size

Language: Matlab - Size: 4.13 MB - Last synced: 7 months ago - Pushed: over 5 years ago - Stars: 28 - Forks: 15

katyayini0583/WalmartBusinessCaseConfiedenceInterval-CLT

This is a case study on walmart customer data on black day- Gender based purchase analysis

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timothee-bacri/HMM_with_TMB

A gentle tutorial of accelerated parameter and confidence interval estimation for Hidden Markov Models using Template Model Builder

Language: R - Size: 47.3 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 7 - Forks: 1

starkblaze01/Artificial-Intelligence-Codes

Collection of Artificial Intelligence Algorithms implemented on various problems

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mateuszbuda/ml-stat-util

Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers

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andremadsen/Reference_intervals

Establish continuous nonparametric 95% reference intervals

Language: R - Size: 122 KB - Last synced: 8 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

ayushkumarshah/Confidence_Interval_Matlab

Project 3 of CISC 820 Quantitative Foundations - Confidence Interval

Language: MATLAB - Size: 419 KB - Last synced: 8 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

aditya-shinde16/Walmart_Case_Study

Business Case: Walmart - Confidence Interval and CLT

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Nero103/AB-Test-Comparing-Ride-Fare

This is an A/B test to compare the ride service fare payments to find which one generates the most revenue.

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praneethkvs/Inferential-Statistics-Duke

Inferential Statistics Course 2 in Coursera - Duke University.

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gasparl/neatstats

neatStats: An R package for neat and painless statistical reporting.

Language: R - Size: 4.93 MB - Last synced: 6 months ago - Pushed: over 1 year ago - Stars: 3 - Forks: 1

Pegah-Ardehkhani/Statistics-and-Probability-in-Python

Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"

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T3kan0/bootstrap_resample_with_replacement

A combination of codes developed for the calculation of the cross-correlation confidence intervals, making use of a pair of light-curves. The code conducts a bootstrap random sampling with replacement method to generate artificial light-curves. The code determines the cross-correlation of the artificial light-curves, and uses them for significance.

Language: Fortran - Size: 210 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 1 - Forks: 0

dballaelliott/binscatter Fork of michaelstepner/binscatter

binscatter: now with confidence intervals!

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stonegold546/cohens_d_calculators

Effect size calculator within a number of contexts

Language: JavaScript - Size: 290 KB - Last synced: 9 months ago - Pushed: about 1 year ago - Stars: 11 - Forks: 0

cwendorf/BASE

Basic Analytical Statistics with Excel

Size: 17.8 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 2 - Forks: 0

SindiAI/AB-Testing

This repository contains a A/B testing for a fictional company Globox where I analyzed the results and provided recommendations to the stakeholders about whether Globox should launch a new experience to all their users.

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