sampling-distribution

There are 42 repositories under sampling-distribution topic.

  • doliinychenko/microcanonical_cooper_frye

    Sampling particles on a hypersurface with local event-by-event account of energy, momentum, baryon number, strangeness and charge conservation.

    Language:C++10313
  • Qazalbash/jaxampler

    An open-source JAX-based statistical sampling toolkit 🧪

    Language:Python92541
  • jmlcode/p2-ab-testing

    Analysis of mock A/B Test Results by an e-commerce company. Application of probability, hypothesis testing, sampling distribution, two-sample z-test, and logistic regression to determining whether the company should implement the new web page it developed to increase users' conversion rate

    Language:HTML5105
  • jchristopherson/fstats

    A modern Fortran statistical library.

    Language:Fortran4250
  • TomMonks/sim-tools

    Tools to support the Disscrete-Event Simulation process for education and practice.

    Language:Python4320
  • dwave-examples/reverse-annealing-notebook

    Demonstrates reverse annealing on D-Wave quantum computers.

    Language:Jupyter Notebook3807
  • mschiffn/rhombic_grids

    Rhombic grids for coherent plane-wave compounding (CPWC) in ultrasound imaging

    Language:MATLAB3102
  • aifromphytsai/gan_sampling

    Tutorial: A simple GAN to generate samples from Gaussian distribution

    Language:Jupyter Notebook2102
  • chen0040/pysie

    Package provides python implementation of statistical inference engine

    Language:Python2202
  • elmomoilanen/Bootstrap-sampling-distribution

    Use bootstrap resampling to estimate the sampling distribution of a statistic

    Language:Python2100
  • AlaaNabil98/Analyze-A-B-Test-Results

    working to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product.

    Language:Jupyter Notebook1100
  • CS-LEE2022/Analyze_A-B_Test_Results

    Applying A/B test to help determing if company should launch the new page

    Language:HTML1100
  • david-thrower/python-rep-resampling

    This takes any Pandas or Dask dataframe and returns a resampled Dask dataframe simulating the sampling distribution of your data in one line of code. This is like the rep_sample_n() function from the infer package in R, but on steroids and made for quickly simulating a large number of replicate samples and even with a large number of observations per sample rep. The dataframe it returns consists of 'n' observations per rep, 'rep' number of reps and is grouped by rep. Any aggregate operations you perform such as df['column'].mean().compute() or df['column'].std().compute() will run in parallel by default and give you an pandas series consisting of the means of each sample replicate. You can do most anything on this that you can with a Pandas DataFrame that is grouped by the same column. You just have to add the .compute() method to your method call, because this runs on futures parallelization. See the excerpts in the examples.

    Language:Jupyter Notebook1301
  • dwave-examples/diverse-solutions

    Demonstrate techniques that help quantum applications find better, more robust solutions by comparing two generations of D-Wave 2000Q QPUs.

    Language:Python1701
  • Jocelyne-Smith/data-science

    Some R and Python code I've been working on.

    Language:Jupyter Notebook110
  • learnwithfair/stat-2-2

    Sampling Distribution and Hypothesis testing with [learnwithfair, Learn with fair, Rahatul Rabbi, Md Rahatul Rabbi ,rahatulrabbi]

    Language:R110
  • msramada/Control-Importance-Distribution-Algorithm-CIDA-

    This code can be used to reproduce the results in our paper ``A Control Approach for Nonlinear Stochastic State Uncertain Systems with Probabilistic Safety Guarantees''.

    Language:Jupyter Notebook110
  • queelius/likelihood.model

    Likelihood model framework

    Language:R1100
  • Usama-Tariq/-Udacity_Analyze-A-B-Test-Results_Project-3_DAND

    A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these.

    Language:HTML1200
  • ankitraj1602/FundamentalOfDataAnalysisEdX

    R Projects relevant to two part Data Analysis Course. Link to Part 1 and 2 : https://courses.edx.org/courses/course-v1:UTAustinX+UT.7.20x+1T2016/e40867c6134a4731a492e1ab9c5027b3/

  • khadija267/A-B-Testing

    A/B test run by an e-commerce website

    Language:Jupyter Notebook0100
  • pooja-rane7/Analyze-A-B-Test-Results

    Analyze A/B Test Results - Data Analyst Nanodegree with Udacity

    Language:HTML0100
  • Rao-Sanjayy/Inferential-Statistics-Using-R

    The repository covers some of the key concepts of Inferential Statistics with the help of R.

  • saikrishnabudi/Basic-Statistics-Level-2

    Data Science - Statistics Work Level-2

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  • shikhabajaj569/Basic-Statistics-Level-2

    Basic level Statistics Questions

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  • weichi21/Hypothesis-Testing

    Hypothesis Testing, Bootstrap Sampling

    Language:Jupyter Notebook0100
  • ydkristanto/apl-dist-sampling-stat

    Aplikasi Shiny untuk mendemonstrasikan distribusi sampling berbagai macam statistik.

    Language:R0100
  • zhifanzhu/visualize-rotations

    Visualize rotations in SO(3) generated by different methods. https://zhifanzhu.github.io/visualize-rotations/

    Language:JavaScript00
  • dwave-examples/anneal-schedule-notebook

    Demonstrates configuring the annealing schedule on D-Wave quantum computers.

    Language:Jupyter Notebook616
  • EslamSAA/AB-Testing

    Understanding the results of an A/B test run by an e-commerce website, to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer. Analyzing the results by probability, hypothesis testing, and regression to reach a conclusion.

    Language:Jupyter Notebook
  • maciejtarsa/sampling-from-distribution-methods

    Exploration of different methods for sampling from distributions using the example of world population

    Language:Jupyter Notebook10
  • omogbolahan94/Unerstanding-Data-Sampling

    This repository is to demonstrate my understanding of the Sampling in Python course on Datacamp.

    Language:Jupyter Notebook10
  • proma90/A-B

    Analysis of mock A/B Test Results by an e-commerce company.

    Language:Jupyter Notebook
  • she-osprey/IPWK3-CORE

    Sampling plan for the analysis of the medical income for the different cities. The sample will be used to determine the distribution of the general population among others.

    Language:Jupyter Notebook10
  • slopezmarcano/skinks-occurrences

    Skinks are a commonly observed reptile in Australia. I studied how the occurrence areas of garden skinks from human observation data shifted in ACT from 2005 - 2022; with a close inspection to covid years.

    Language:R14
  • spacebakery/Sampling-Distributions-Dance-Party-Project

    Data Science Foundations II | Statistics Fundamentals for Data Science | Sampling for Data Science

    Language:HTML