Statistical Associates E-Book Catalog

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e-books grátis.

TITLE INFO DESCRIPTION EDITION FREE KINDLE
NO PASSWORD REQUIRED FOR TITLES IN THIS SECTION
2013 Annual Report, Statistical Associates Publishers Info Pages: 8. Coverage: General. 2013 Free No Kindle edition
10 Worst Statistical Mistakes and Pitfalls Info Coverage: For selected statistical procedures 2015 Free No Kindle edition
Creating Simulated Datasets Info Pages: 15. Coverage: General, SPSS. 2012 Free No Kindle edition
Game Theory Info Pages: 15. Coverage: General. 2012 Free No Kindle edition
Probability Info Pages: 15. Coverage: General, SPSS, SAS, Stata. 2013 Free No Kindle edition
Testing Statistical Assumptions Info Pages: 51. Coverage: General, SPSS. 2012 Free Coming
E-MONOGRAPHS: ALL $5 AT AMAZON/KINDLE
Association, Measures of Info Pages: 49. Coverage: General, SPSS. 2012 Free Buy at Amazon
Correlation Info Pages: 60. Coverage: General, SPSS, SAS, Stata. 2013 Free Buy at Amazon
Correspondence Analysis Info Pages: 37. Coverage: General, SPSS. 2012 Free Buy at Amazon
Crosstabulation Info Pages: 60. Coverage: General, SPSS, SAS, Stata. 2013 Free Buy at Amazon
Curve Fitting & Nonlinear Regression Info Pages: 53. Coverage: General, SPSS. 2012 Free Buy at Amazon
Discriminant Function Analysis Info Pages: 52. Coverage: General, SPSS. 2012 Free Buy at Amazon
Life Tables & Kaplan-Meier Analysis Info Pages: 32. Coverage: General, SPSS. 2012 Free Buy at Amazon
Literature Review in Research and Dissertation Writing Info Pages: 52. Coverage: General. 2013 Free Buy at Amazon
Multidimensional Scaling Info Pages: 55. Coverage: General, SPSS. 2012 Free Buy at Amazon
Network Analysis Info Pages: 35. Coverage: General, UCINET. 2012 Free Buy at Amazon
Ordinal Regression Info Pages: 93. Coverage: General, SPSS, SAS, Stata. 2014 Free Buy at Amazon
Parametric Survival Analysis (Event History Analysis) Info Pages: 64. Coverage: General, Stata, SAS. 2012 Free Buy at Amazon
Partial Correlation Info Pages: 40. Coverage: General, SPSS, SAS, Stata. 2014 Free Buy at Amazon
Path Analysis Info Pages: 81. Coverage: General, SPSS AMOS. SAS, Stata. 2014 Free Buy at Amazon
Power Analysis Info Pages: 36. Coverage: General, SPSS SamplePower, G*Power. 2012 Free Buy at Amazon
Probit Regression & Response Models Info Pages: 92. Coverage: General, SPSS. 2012 Free Buy at Amazon
Research Design Info Pages: 53. Coverage: General. 2013 Free Buy at Amazon
Scales and Measures Info Pages: 91. Coverage: General, SPSS, SAS, Stata, WINSTEPS, jMetric 2013 Free Buy at Amazon
Survey Research & Sampling Info Pages: 82. Coverage: General. 2013 Free Buy at Amazon
Two-Stage Least Squares Regression Info Pages: 45. Coverage: General, Stata, SPSS, SAS. 2013 Free Buy at Amazon
Variance Components Analysis Info Pages: 37. Coverage: General, SPSS, SAS. 2012 Free Buy at Amazon
WLS: Weighted Least Squares Regression Info Pages: 54. Coverage: General, SPSS, SAS, Stata. 2013 Free

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Scholarpedia

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Uma alternativa à weekepedia com suposta melhor qualidade.

Welcome to Scholarpedia

the peer-reviewed open-access encyclopedia,
where knowledge is curated by communities of experts

Established faculty and researchers

Disseminate: share your expertise with a global audience

Pioneer: write the first persistent online review in your area of specialization

Steward: supervise the development of articles in your field

Students and writers

Collaborate: work with expert scientists and scholars from around the world

Learn: gain experience with scholarly writing and editing

Publish: transform your writing into a peer-reviewed article

erts

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Markov Chains explained visually

Boa forma de perceber como funcionam as cadeias de Markov

Boa forma de perceber como funcionam as cadeias de Markov

Adding on to their series of graphics to explain statistical concepts, Victor Powell and Lewis Lehe use a set of interactives to describe Markov Chains. Even if you already know what Markov Chains are or use them regularly, you can use the full-screen version to enter your own set of transition probabilities. Then let the simulation run.

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Probability and Monte Carlo methods

Um bom texto de introdução à probabilidade e simulação de Monte-Carlo

Um bom texto de introdução à probabilidade e simulação de Monte-Carlo

This is a lecture post for my students in the CUNY MS Data Analytics program. In this series of lectures I discuss mathematical concepts from different perspectives. The goal is to ask questions and challenge standard ways of thinking about what are generally considered basic concepts. I also emphasize using programming to help gain insight into mathematics. Consequently these lectures will not always be as rigorous as they could be.

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Engineer solves Big Data Conjecture

Um problema de combinatória em contexto de big-data

Um problema de combinatória em contexto de big-data

IBM Distinguished Engineer solves Big Data Conjecture

A mathematical problem related to big data was solved by Jean-Francois Puget, engineer in the Solutions Analytics and Optimization group at IBM France. The problem was first mentioned on Data Science Central, and an award was offered to the first data scientist to solve it.

Bryan Gorman, Principal Physicist, Chief Scientist at Johns Hopkins University Applied Physics Laboratory, made a significant breakthrough in July, and won $500. Jean-Francois Puget completely solved the problem, independently from Bryan, and won a $1,000 award.

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Dictionary of Numbers

um dicionário q associa factos a números

um dicionário q associa factos a números

is an award-winning Google Chrome extension that tries to make sense of numbers you encounter on the web by giving you a description of that number in human terms. Like a dictionary describes words you don’t know in terms you do, Dictionary of Numbers puts quantities you’re unfamiliar with in terms you can understand. Because “8 million people” means nothing, but “population of New York City” means everything.

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Stupid Calculations

Porque os cálculos tb podem ser divertidos

Porque os cálculos tb podem ser divertidos

Josh Orter takes back-of-the-napkin math to the next level with Stupid Calculations, which promises to turn practical facts into utterly useless ones. Stupid calculation number one is the size of a giant iPhone screen if you combined all the iPhone screens ever sold into one.

The eye-glazing calculations are laid out below for those who appreciate the dirty work but, skipping ahead, the Kubrick-inspired monophone would stretch 5,059 feet into the sky and have a base measuring 2,846 feet across (Central Park is 2,640 feet wide). Its surface area would take in 2.07 billion square inches. That’s 14.39 million square feet or 330.54 acres. The new World Trade Center, by comparison, will have a surface area of 23 glass-clad acres, giving us enough screenage to watch Game of Thrones on all four sides of fourteen WTCs.

See also how long it would it take to drink the water in an olympic-sized pool through a straw.

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Zentralblatt MATH Database

Base de dados de referências em todos os temas de Matemática

Base de dados de referências em todos os temas de Matemática

The Zentralblatt MATH Database ZBMath is produced by the Berlin editorial office of FIZ Karlsruhe in cooperation with European academies and mathematical institutes.The  One-line Search gives you the easiest access to our database. Alternatively, you can use the specified search fields above or the link to the Advanced Search that offers you an even more detailed search form.
Without specifying a particular search field in the One-Line Search, search is performed over all fields. If you wish to refine your original query, you can do so without leaving the hit list.

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Punk Rock Operations Research

Um blogue com modelos e aplicações de técnicas de IO

Um blogue com modelos e aplicações de técnicas de IO

Punk Rock Operations Research by Laura A. McLay is licensed under a Creative Commons Attribution-NonCommercial 3.0 United States License

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Modelos de dados

video sobre data modeling de apenas 60 segundos

60 Seconds Smarter: Data Modeling

Tackling tough tech in a minute or less. This episode explores Data Modeling with Steve Hoberman, Data Modeling expert, author and educator.

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