Agresti Data

Statistics: The Art and Science of Learning from Data (3rd edition) [Repost]  eBooks & eLearning

Posted by ChrisRedfield at July 23, 2017
Statistics: The Art and Science of Learning from Data (3rd edition) [Repost]

Alan Agresti, Christine A. Franklin - Statistics: The Art and Science of Learning from Data (3rd edition)
Published: 2012-01-06 | ISBN: 0321755944, 0321756320 | PDF | 832 pages | 39.67 MB

An Introduction to Categorical Data Analysis (repost)  eBooks & eLearning

Posted by libr at May 26, 2017
An Introduction to Categorical Data Analysis (repost)

An Introduction to Categorical Data Analysis by Alan Agresti
English | 2007 | ISBN: 0471226181 | 400 pages | PDF | 2,3 MB

Il fascino del peccato - Aimee Agresti (Repost)  eBooks & eLearning

Posted by Maroutan at Jan. 11, 2017
Il fascino del peccato - Aimee Agresti (Repost)

Il fascino del peccato - Aimee Agresti
Italian | 2013 | 428 Pages | ISBN: 8842919322 | EPUB | 982.46 KB

Colonne di marmo, scalinate vertiginose, lampadari di cristallo: finalmente il Lexington Hotel sta per tornare al suo antico splendore. E, per la giovane Haven, la riapertura dello storico albergo di Chicago rappresenta un'opportunità imperdibile. Dopo una durissima selezione, la ragazza è stata infatti assunta come fotografa: ben presto, potrà entrare in contatto con molti personaggi influenti e iniziare così una carriera di successo…
Statistical Methods for the Social Sciences (3rd Edition) by Alan Agresti , Barbara Finlay

Statistical Methods for the Social Sciences (3rd Edition) by Alan Agresti , Barbara Finlay
English | Mar. 28, 1997 | ISBN: 0135265266 | 720 Pages | DJVU | 10 MB

Assuming no prior knowledge of statistics, these authors combine their varied backgrounds—one a statistician, the other a social scientist—to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that…

An Introduction to Categorical Data Analysis (repost)  eBooks & eLearning

Posted by interes at July 1, 2014
An Introduction to Categorical Data Analysis (repost)

An Introduction to Categorical Data Analysis by Alan Agresti
English | 2007 | ISBN: 0471226181 | 400 pages | PDF | 2,3 MB

Statistics: The Art and Science of Learning from Data, 3rd Edition (repost)  eBooks & eLearning

Posted by fdts at Oct. 26, 2013
Statistics: The Art and Science of Learning from Data, 3rd Edition (repost)

Statistics: The Art and Science of Learning from Data, 3rd Edition
by Alan Agresti, Christine Franklin
English | 2012 | ISBN: 0321755944 | 832 pages | PDF | 39.67 MB

An Introduction to Categorical Data Analysis,2 Edition (repost)  eBooks & eLearning

Posted by arundhati at Sept. 18, 2013
An Introduction to Categorical Data Analysis,2 Edition (repost)

Alan Agresti, "An Introduction to Categorical Data Analysis,2 Edition"
2007 | ISBN: 0471226181 | 400 pages | PDF | 4,2 MB

Aimee Agresti - Il fascino del peccato  eBooks & eLearning

Posted by anthony93fr at July 10, 2013
Aimee Agresti - Il fascino del peccato

Aimee Agresti - Il fascino del peccato
Italian | Nord | EPUB | Pages: N/A | ISBN: 8842923794 | 2013 | 3 Mb

Statistics: The Art and Science of Learning from Data, Global Edition  eBooks & eLearning

Posted by AlenMiler at Jan. 20, 2017
Statistics: The Art and Science of Learning from Data, Global Edition

Statistics: The Art and Science of Learning from Data by Alan Agresti
English | 15 Mar. 2017 | ISBN: 1292164778, 1292164875 | 816 Pages | PDF (True) | 42.24 MB

Statistics: The Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures.
Building Data-driven React Applicationswith Relay, GraphQL, and Flux

Building Data-driven React Applicationswith Relay, GraphQL, and Flux
HDRips | MP4/AVC, ~210 kb/s | 1280x720 | Duration: 03:09:00 | English: AAC, 66 kb/s (2 ch) | 518 MB
Genre: Development / Programming

In this course, we create a React.js application on top of an Express.js project on Node.js. We'll have our data stored in MongoDB and exposed with a GraphQL endpoint on the server. For the clients on the frontend, we'll see examples of how to work with data using the Flux pattern first, then using the Relay.js framework. We'll be using Babel and Webpack in this project, and we'll install all our dependencies with npm. The application we will be building is a list of educational resources about React, GraphQL, and Relay. Users can add new resources and browse and search the list.