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NIST Engineering Statistics Handbook

From the National Institute of Standards and Technology (NIST) & SEMATECH, a full free statistic handbook for the industry and manufacturing. Full details and explanations, so as statistical tables.

A printable pdf version is also available.

Its official reference: 

NIST/SEMATECH e-Handbook of Statistical Methods

http://www.itl.nist.gov/div898/handbook/
Digitial Object Identifier (DOI): https://doi.org/10.18434/M32189

Disciplines: Statistics, Quality engineering, Six Sigma, Design of experiments, Metrology, Manufacturing.
Free alternative to Minitab, JMP.
NIST Engineering Statistics Handbook compared with Minitab and JMP
NIST Engineering Statistics HandbookMinitabJMP
Nature of the tool: A web-based reference that expands NIST Handbook 91, Experimental Statistics, first published in 1963. It is written for engineers, scientists and researchers who apply statistics without being statisticians, and has the DOI 10.18434/M32189.Nature of the tool: A statistical software product for quality and process improvement, available on the desktop or in the cloud.Nature of the tool: A statistical software product with editions such as JMP Pro for predictive analytics and JMP Live for sharing results.
Technical coverage: Chapters on exploratory data analysis, process modeling, experimental design, process control and reliability, with case studies from the semiconductor industry and NIST laboratories.Technical coverage: Classical tests, measurement system analysis, control charts, capability analysis, design of experiments, and reliability and life data analysis including Weibull analysis. A Predictive Analytics Module adds CART, TreeNet and Random Forests.Technical coverage: Design of experiments, quality and process engineering, reliability analysis, statistical modeling and visualization.
Automation and integration: The handbook website is integrated with Dataplot, a free downloadable statistical analysis package maintained by the NIST Information Technology Laboratory.Automation and integration: Integrates with the open-source languages R and Python.Automation and integration: Scripting automates processes and regenerates analysis reports. Links to SAS, MATLAB, R and Python are provided.
Platform: Read in a web browser.Platform: Desktop versions run on Windows and macOS, and a cloud version is offered.Platform: Runs on Windows and macOS.
Cost and licensing: A free trial of selected products is offered, and the price is given on request.Cost and licensing: A free trial is offered, and the software is sold under licence.

Topics covered: NIST, Engineering Statistics, Handbook, Statistical Methods, Manufacturing, Industry, Statistical Tables, PDF Version, Free Resource, Quality Control, Data Analysis, Statistical Inference, Process Improvement, SEMATECH, Reliability Engineering, Digital Object Identifier, and DOI..

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