standard-deviation | Topic | Ecosyste.ms: Repos

Topic: "standard-deviation"

stdlib-js/stats-base-dsvariancepn

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

Language: JavaScript - Size: 1.23 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-sstdevyc

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

Language: JavaScript - Size: 1.46 MB - Last synced at: 22 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dvarianceyc

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

Language: JavaScript - Size: 524 KB - Last synced at: about 1 hour ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-sstdevch

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

Language: JavaScript - Size: 866 KB - Last synced at: 23 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-sstdevwd

Calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.

Language: JavaScript - Size: 1.25 MB - Last synced at: 10 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-snanvariancewd

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

Language: JavaScript - Size: 704 KB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-nanvariancepn

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

Language: JavaScript - Size: 590 KB - Last synced at: 22 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dvariance

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

Language: JavaScript - Size: 1.35 MB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dnanvariancepn

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

Language: JavaScript - Size: 633 KB - Last synced at: 5 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-nanstdevyc

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

Language: JavaScript - Size: 611 KB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dstdevyc

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

Language: JavaScript - Size: 827 KB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-snanstdevwd

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

Language: JavaScript - Size: 1.28 MB - Last synced at: 15 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dstdevwd

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

Language: JavaScript - Size: 820 KB - Last synced at: 16 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dstdevpn

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

Language: JavaScript - Size: 1.45 MB - Last synced at: 23 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-nanstdevpn

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

Language: JavaScript - Size: 624 KB - Last synced at: 22 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dstdevch

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

Language: JavaScript - Size: 992 KB - Last synced at: 16 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dsemtk

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

Language: JavaScript - Size: 812 KB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dsemwd

Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.

Language: JavaScript - Size: 822 KB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dnanvariance

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

Language: JavaScript - Size: 1.27 MB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dnanstdevch

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

Language: JavaScript - Size: 1.39 MB - Last synced at: 12 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dnanstdevpn

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Language: JavaScript - Size: 1.4 MB - Last synced at: 8 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dnanstdevwd

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

Language: JavaScript - Size: 732 KB - Last synced at: 11 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dnanstdevtk

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

Language: JavaScript - Size: 905 KB - Last synced at: 8 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dsemyc

Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Language: JavaScript - Size: 902 KB - Last synced at: about 13 hours ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dsemch

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

Language: JavaScript - Size: 743 KB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-incr-meanstdev

Compute an arithmetic mean and corrected sample standard deviation incrementally.

Language: JavaScript - Size: 781 KB - Last synced at: 15 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dvarmtk

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

Language: JavaScript - Size: 485 KB - Last synced at: 1 day ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

hazelcast-guides/standard-deviation-parallel-processing

Use an entry processor to process in parallel the standard deviation of customer satisfaction scores that are stored in a map.

Language: Java - Size: 61.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

ejaj/data-science

Data science and data mining

Language: Jupyter Notebook - Size: 30.2 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

safakeskin/Apps

Language: Python - Size: 553 KB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

EtzionR/Histo-Regression

A Statistical Machine Learning method for producing predictions

Language: Python - Size: 3.38 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

vaitybharati/P16.-Hypothesis-Testing-1S2T---Call-Center-Process

Hypothesis Testing 1S2T - Call Center Process. Sample Parameters: n=50, df=50-1=49, Mean1=4, SD1=3 1-sample 2-tail ttest Assume Null Hypothesis Ho as Mean1 = 4 Thus, Alternate Hypothesis Ha as Mean1 ≠ 4

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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/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/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/P11.-Normal-Distribution-of-Stocks

To understand Normal Distribution and its application. Daily returns of stocks traded in BSE (Bombay Stock Exchange). To understand risk and returns associated with various stocks before investing in them. BEML and GLAXO Stocks study.

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vaitybharati/P07.-Chebyshev-s-practice

Chebyshev's Theorem 3/4th or 75% of observations lie 2 Standard deviations of mean i.e. mean+2SD and mean-2SD

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vaitybharati/P01.-Pandas-1

Understanding Pandas, Importing datasets, Deriving Attributes, Performing Statistics

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vaitybharati/A17-Aczel-problems-practice-1-82-1-83-

Solution to Aczel problems practice (1-82, 1-83)

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vaitybharati/A16-Aczel-problems-practice-1-80-1-81-

The future Euroyen is the price of the Japanese yen as traded in the European futures market. The following are 30-day Euroyen prices on an index from 0 to 100%. Find mean, variance, standard deviation and the median.

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vaitybharati/A15-Aczel-problems-practice-1-78-1-79-

Solution to Aczel problems practice (1-78, 1-79)

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vaitybharati/A14-Aczel-problems-practice-1-76-1-77-

The following table shows changes in bad loans and in provisions for bad loans, from 2005 to 2006, for 19 lending institutions. Verify the reported averages, and find the medians. Which measure is more meaningful, in your opinion? Also find the standard deviation and identify outliers for change in bad loans and change in provision for bad loans

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vaitybharati/A13-Aczel-problems-practice-1-74-1-75-

Solution to Aczel problems practice (1-74, 1-75)

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vaitybharati/A12-Aczel-problems-practice-1-71-1-72-1-73-

Solution to Aczel problems practice (1-71, 1-72, 1-73)

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vaitybharati/A10-Aczel-problems-practice-1-62-1-63-1-64-1-65-

Fortune published a list of the 10 largest “green companies”—those that follow environmental policies. Their annual revenues, in $ billions, are given below. Find the mean, variance, and standard deviation of the annual revenues.

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vaitybharati/A8-Aczel-problems-practice-1-48-1-51-1-53-

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vaitybharati/A5-Aczel-problems-practice-1-17-1-23-1-35-

Data: 23, 26, 29, 30, 32, 34, 37, 45, 57, 80, 102, 147, 210, 355, 782, 1209

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vaitybharati/A4-Aczel-problems-practice-1-16-1-22-1-34-

Following are the numbers of daily bids received by the government of a developing country from firms interested in winning a contract for the construction of a new port facility

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vaitybharati/A3-Aczel-problems-practice-1-15-1-21-1-33-

The following data are the total 1-year return, in percent, for 10 midcap mutual funds

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vaitybharati/A2-Aczel-problems-practice-1-14-1-20-1-32-

The following data are annualized returns on a group of 15 stocks. 12.5, 13, 14.8, 11, 16.7, 9, 8.3, -1.2, 3.9, 15.5, 16.2, 18, 11.6, 10, 9.5

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vaitybharati/A1-Aczel-problems-practice-1-13-1-19-1-31-

The following data are numbers of passengers on flights of Delta Air Lines between San Francisco and Seattle over 33 days in April and early May. 128, 121, 134, 136, 136, 118, 123, 109, 120, 116, 125, 128, 121, 129, 130, 131, 127, 119, 114, 134, 110, 136, 134, 125, 128, 123, 128, 133, 132, 136, 134, 129, 132

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vaitybharati/R_basics-homework

R_basics Functions

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vaitybharati/R_basics

R_basics

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sharmasapna/10-Days-of-Statistics-HackerRank-solutions

10 Days of Statistics Hackerrank Solutions

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markmusic27/data-statistics-calculator

💣 This method (made in JavaScript / Python) can find the mean, median, mode, range, and standard deviation.

Language: JavaScript - Size: 6.84 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

maltseva88/Pandas-Portfolio-Analysis-

Conducting portfolio analysis using pandas dictionaries

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vaitybharati/Normal-Distribution

Normal-Distribution

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vaitybharati/Datascience_R

R code Tutorial

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vaitybharati/Datascience_python

Python code

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briang123/stats-challenge-in-react-js

Develop a Single Page App (SPA) that shows a simple dashboard that displays four tiles, each displaying a single statistic for a data set that is retrieved via a REST API call. The user should be able to request new data to be loaded and to see the statistics in the tiles update to reflect the new data set.

Language: JavaScript - Size: 3.15 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 3