standard-error
There are 16 repositories under standard-error topic.
gripep/drf-simple-api-errors
A library for Django Rest Framework returning consistent, predictable and easy-to-parse API error messages inspired by RFC7807 guidelines.
stdlib-js/stats-base-dsem
Calculate the standard error of the mean for a double-precision floating-point strided array.
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.
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.
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.
stdlib-js/stats-base-dsemwd
Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.
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.
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
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
ArpitaShrivas001/Credit_Balance_Analysis
Executed Regression modelling, hypothesis testing and statistical analysis to predict factors affecting credit card balances in a firm. Tools & technologies: ANOVA, p-value, R square
jesusgraterol/error-message-utils
The error-message-utils package simplifies error management in your web applications and RESTful APIs. It ensures consistent and scalable handling of error messages, saving you time and effort. Moreover, it gives you the ability to assign custom error codes so all possible cases can be handled accordingly.
MuhammadFarooq2022/MS_Excel
📊 Master Microsoft Excel for Data Analysis and Data Science with ready-to-use tools, templates, and expert tips. Join us in unleashing the power of data! 💼🔍🚀
anilesh-prajapati/Probability-and-Statistics-for-Machine-Learning
Probability and Statistics for Machine Learning
ehsanx/interaction
interaction in epidemiology
GirkovArpa/read_pipe
A JavaScript module for reading an external process' stdout & stderr.
spacebakery/Sampling-Distributions-Dance-Party-Project
Data Science Foundations II | Statistics Fundamentals for Data Science | Sampling for Data Science