Posted by **readerXXI** at July 18, 2017

English | 2014 | ISBN: 3110250284 | 287 Pages | PDF | 1.72 MB

Posted by **tarantoga** at July 18, 2017

ASIN: B071WKT5C9 | 2017 | MP3@64 kbps | ~08:14:00 | 237 MB

Posted by **hill0** at July 18, 2017

English | 20 July 2017 | ISBN: 3319564803 | 198 Pages | PDF | 8.82 MB

This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques.

Posted by **nebulae** at July 17, 2017

English | 2012 | ISBN: 1111827044 | 864 pages | PDF | 7,6 MB

Posted by **AvaxGenius** at July 17, 2017

This is the first book to show the capabilities of Microsoft Excel to teach environmentall sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you.

Posted by **hill0** at July 6, 2017

English | 3 Aug. 2017 | ISBN: 3319564803 | 178 Pages | PDF | 8.82 MB

This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques. More often than not, regression models involve more than one independent variable. For example, forecasting methods are commonly applied to aggregates such as inflation rates, unemployment, exchange rates, etc., that have complex relationships with determining variables.

Posted by **arundhati** at July 4, 2017

2017 | ISBN-10:1484222555 | 324 pages | PDF | 8 MB

Posted by **libr** at June 13, 2017

English | 2004 | ISBN: 0415332850, 0415332842 | 352 pages | PDF | 1,3 MB

Posted by **AvaxGenius** at June 11, 2017

This is the first book to show the capabilities of Microsoft Excel to teach environmentall sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you.

Posted by **hill0** at March 15, 2017

English | 14 Feb. 2017 | ISBN: 3319461605 | 472 Pages | PDF | 5.25 MB

This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides