standard-deviation | Topic | Ecosyste.ms: Repos

jeroenterheerdt/HADailySensor

Sensor for Home Assistant that gets reset at midnight

Language: Python - Size: 934 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 92 - Forks: 20

hoangsonww/Standard-Deviation-Calculator

📊 This repository contains a Standard Deviation Calculator implemented in C++. It provides an efficient algorithm for calculating the statistical standard deviation of a dataset, making it a valuable tool for students, researchers, and analysts seeking a reliable method for data analysis.

Language: C++ - Size: 5.86 KB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 12

pugulist/math-stats

A small library that does the statistics for your numbers.

Language: JavaScript - Size: 155 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 18 - Forks: 2

axiomhq/variance

Go implementation of variance's method for one-pass variance computation with D. H. D. West improved methods which features merging of several multiple sets of statistics and adding weighted values.

Language: Go - Size: 430 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 16 - Forks: 6

AlexandreHiroyuki/DataTome

Data analysis and filtering using time series for embedded devices (IoT). All in a single C++ library, Data Tome. Focus on the developer's experience and performance. It is the successor to the MovingAveragePlus library.

Language: C++ - Size: 221 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 8 - Forks: 1

pub-calculator-io/standard-deviation

Free WordPress Plugin: Given a discrete data set, the calculator calculates the mean, variance, and standard deviation of a sample or a population and shows all the intermediate steps of calculations. www.calculator.io/standard-deviation/

Language: JavaScript - Size: 6.53 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0

sgreben/tcp-time

measures TCP connection durations to a given target, prints JSON

Language: Go - Size: 3.65 MB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 0

WinPooh32/series

Series data statistics processing functions

Language: Go - Size: 168 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 2

CarsonScott/onlinestats

An online machine-learning library for creating robust statistical models of streaming data

Language: Python - Size: 157 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 0

maxcountryman/st

Fast and simple statistics on the command line.

Language: Rust - Size: 5.86 KB - Last synced at: 26 days ago - Pushed at: almost 9 years ago - Stars: 6 - Forks: 0

rafi007akhtar/stapy

Python package containing functions implemented for descriptive and inferential statistics.

Language: Python - Size: 207 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 0

idrinth-api-bench/chartjs-plugin-stdev-filler

A small plugin to provide sensible standard deviation displays.

Language: TypeScript - Size: 69.3 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 4 - Forks: 0

RachelPengmkt/Analyzing-a-Simple-A-B-Test-with-a-T-Test

I will include two ways of t tests that compare conversion rate and click through rate of two groups

Language: Jupyter Notebook - Size: 64.5 KB - Last synced at: 7 months ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 2

MishraShivendra/golang_math

Machine learning functions written in goLang:

Language: Go - Size: 1.95 KB - Last synced at: 5 months ago - Pushed at: almost 8 years ago - Stars: 4 - Forks: 3

stdlib-js/stats-base-stdevwd

Calculate the standard deviation of a strided array using Welford's algorithm.

Language: JavaScript - Size: 673 KB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0

PFalkowski/OnTheFlyStats

One pass (O(N)) descriptive statistics including variance, means, min & max and more. Can be calculated on-the-fly.

Language: C# - Size: 97.7 KB - Last synced at: 10 days ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

pub-calculator-io/standard-deviation-calculator

Free WordPress Plugin: Given a discrete data set, the calculator calculates the mean, variance, and standard deviation of a sample or a population and shows all the intermediate steps of calculations. www.calculator.io/standard-deviation-calculator/

Language: JavaScript - Size: 5.99 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

sohamk10/Image-reconstruction-and-Anomaly-detection

CNN autoencoder is trained on the MNIST numbers dataset for image reconstruction. Anomaly detection is carried out by calculating the Z-score. The framework used is Keras.

Language: Jupyter Notebook - Size: 291 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

2004-ind/Correlation_Analysis

Protecting portfolios using Correlation Diversification

Language: Jupyter Notebook - Size: 20.2 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

vaitybharati/Assignment-2-Set1-Q1-Basic-Statistic-Level-2-

Plot the data, find the outliers and find out μ,σ,σ^2

Language: Jupyter Notebook - Size: 41 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 2

Aprataksh/Python-Files

mic_py : Python 3 code for successful use of microphone on windows. stdev_ema.py : Python 3 code for calculation of standard deviation and exponential moving average of stock data.

Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 2

ryanschaub/Level-Difficulty-in-Candy-Crush-Saga

In this project we will work with a real Candy Crush data set and use this data to estimate level difficulty.

Language: Jupyter Notebook - Size: 611 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 4

stdlib-js/stats-incr-meanvar

Compute an arithmetic mean and unbiased sample variance incrementally.

Language: JavaScript - Size: 795 KB - Last synced at: 1 day ago - Pushed at: 20 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-incr-covariance

Compute an unbiased sample covariance incrementally.

Language: JavaScript - Size: 802 KB - Last synced at: 1 day ago - Pushed at: 20 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-incr-covmat

Compute an unbiased sample covariance matrix incrementally.

Language: JavaScript - Size: 2.28 MB - Last synced at: 2 days ago - Pushed at: 26 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-snanvariancetk

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

Language: JavaScript - Size: 584 KB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-snanvariancech

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Language: JavaScript - Size: 597 KB - Last synced at: 1 day ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-nanstdevwd

Calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.

Language: JavaScript - Size: 769 KB - Last synced at: 1 day ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-snanvariance

Calculate the variance of a single-precision floating-point strided array ignoring NaN values.

Language: JavaScript - Size: 738 KB - Last synced at: 1 day ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-nanstdevtk

Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass textbook algorithm.

Language: JavaScript - Size: 554 KB - Last synced at: 1 day ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-nanstdevch

Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.

Language: JavaScript - Size: 508 KB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-stdevpn

Calculate the standard deviation of a strided array using a two-pass algorithm.

Language: JavaScript - Size: 899 KB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-stdev

Calculate the standard deviation of a strided array.

Language: JavaScript - Size: 524 KB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 2 - Forks: 1

stdlib-js/stats-base-nanvarianceyc

Calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Language: JavaScript - Size: 920 KB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-nanvariancewd

Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.

Language: JavaScript - Size: 729 KB - Last synced at: 2 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-nanvariancech

Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.

Language: JavaScript - Size: 793 KB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-variance

Calculate the variance of a strided array.

Language: JavaScript - Size: 601 KB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-variancetk

Calculate the variance of a strided array using a one-pass textbook algorithm.

Language: JavaScript - Size: 706 KB - Last synced at: 2 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-svariance

Calculate the variance of a single-precision floating-point strided array.

Language: JavaScript - Size: 1.67 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-variancech

Calculate the variance of a strided array using a one-pass trial mean algorithm.

Language: JavaScript - Size: 642 KB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dvarmpn

Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.

Language: JavaScript - Size: 488 KB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dsempn

Calculate the standard error of the mean for a double-precision floating-point strided array using a two-pass algorithm.

Language: JavaScript - Size: 861 KB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dsem

Calculate the standard error of the mean for a double-precision floating-point strided array.

Language: JavaScript - Size: 1.39 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-sstdev

Calculate the standard deviation of a single-precision floating-point strided array.

Language: JavaScript - Size: 1.71 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-iter-variance

Compute the unbiased sample variance over all iterated values.

Language: JavaScript - Size: 1.03 MB - Last synced at: 1 day ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-incr-variance

Compute an unbiased sample variance incrementally.

Language: JavaScript - Size: 884 KB - Last synced at: 1 day ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-incr-stdev

Compute a corrected sample standard deviation incrementally.

Language: JavaScript - Size: 871 KB - Last synced at: 2 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-incr-pcorrmat

Compute a sample Pearson product-moment correlation matrix incrementally.

Language: JavaScript - Size: 2.35 MB - Last synced at: 1 day ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-svarianceyc

Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Language: JavaScript - Size: 564 KB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-svariancepn

Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.

Language: JavaScript - Size: 1.24 MB - Last synced at: 2 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dvariancepn

Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.

Language: JavaScript - Size: 1.33 MB - Last synced at: 1 day ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dvariancewd

Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.

Language: JavaScript - Size: 529 KB - Last synced at: 1 day ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dvariancetk

Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.

Language: JavaScript - Size: 542 KB - Last synced at: 2 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-sstdevtk

Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.

Language: JavaScript - Size: 765 KB - Last synced at: 1 day ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-sstdevpn

Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.

Language: JavaScript - Size: 1.29 MB - Last synced at: 1 day ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dnanvariancetk

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

Language: JavaScript - Size: 522 KB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dnanvariancewd

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

Language: JavaScript - Size: 493 KB - Last synced at: 2 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dnanvarianceyc

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Language: JavaScript - Size: 515 KB - Last synced at: 2 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dstdevtk

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.

Language: JavaScript - Size: 840 KB - Last synced at: 1 day ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dsvariance

Calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.

Language: JavaScript - Size: 1.44 MB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dnanstdevyc

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Language: JavaScript - Size: 1.38 MB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dnanvariancech

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Language: JavaScript - Size: 565 KB - Last synced at: 2 days ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

imsatyasaiteja/Network_Science

Research project that focuses on observing the Resilience of Delhi Road Networks to Traffic Disruptions

Language: Jupyter Notebook - Size: 16.9 MB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

ahotko/MathExtended

C# Math Library with Functions, not included in standard Library. Compatible with NET.Core and NET.Framework

Language: C# - Size: 338 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Maurolp15/JMB_Portfolio_Project

Analyze a personal portfolio of stock's past performance and forecast future performance to optimize daily positional adjustments to create a 20% monthly return

Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

vaitybharati/Assignment-2-Set2-Q5-Basic-Statistic-Level-2-

Consider a company that has two different divisions. The annual profits from the two divisions are independent and have distributions Profit1 ~ N(5, 3^2) and Profit2 ~ N(7, 4^2) respectively. Both the profits are in $ Million. Answer the following questions about the total profit of the company in Rupees. Assume that $1 = Rs. 45 A. Specify a Rupee range (centered on the mean) such that it contains 95% probability for the annual profit of the company. B. Specify the 5th percentile of profit (in Rupees) for the company C. Which of the two divisions has a larger probability of making a loss in a given year?

Language: Jupyter Notebook - Size: 4.88 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 3

Topic: "standard-deviation"