Mathematical Statistics
Mathematical Statistics (Repost) eBooks & eLearning
Posted by Specialselection at Feb. 3, 2014
Keith Knight, "Mathematical Statistics"
English | 1999-11-24 | ISBN: 158488178X | 504 pages | PDF | 2.9 mb
English | 1999-11-24 | ISBN: 158488178X | 504 pages | PDF | 2.9 mb
Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists eBooks & eLearning
Posted by interes at Nov. 24, 2014
Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists by Francisco J. Samaniego
English | 2014 | ISBN: 1466560460 | 622 pages | PDF | 7,4 MB
English | 2014 | ISBN: 1466560460 | 622 pages | PDF | 7,4 MB
Mathematical Statistics for Applied Econometrics eBooks & eLearning
Posted by interes at May 1, 2015
Mathematical Statistics for Applied Econometrics by Charles B Moss
English | 2014 | ISBN: 1466594098 | 363 pages | PDF | 3,6 MB
English | 2014 | ISBN: 1466594098 | 363 pages | PDF | 3,6 MB
Mathematical Statistics (Texts in Statistical Science.) eBooks & eLearning
Posted by insetes at Feb. 15, 2020
Mathematical Statistics (Texts in Statistical Science.) By Keith Knight
1999 | 504 Pages | ISBN: 158488178X | PDF | 3 MB
1999 | 504 Pages | ISBN: 158488178X | PDF | 3 MB
Contributions on Theory of Mathematical Statistics (Repost) eBooks & eLearning
Posted by AvaxGenius at March 1, 2020
Contributions on Theory of Mathematical Statistics by Kei Takeuchi
English | PDF | 2020 | 428 Pages | ISBN : 4431552383 | 5.24 MB
This volume is a reorganized edition of Kei Takeuchi’s works on various problems in mathematical statistics based on papers and monographs written since the 1960s on several topics in mathematical statistics and published in various journals in English and in Japanese. They are organized into seven parts, each of which is concerned with specific topics and edited to make a consistent thesis. Sometimes expository chapters have been added.
Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists (repost) eBooks & eLearning
Posted by interes at June 20, 2015
Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists by Francisco J. Samaniego
English | 2014 | ISBN: 1466560460 | 622 pages | PDF | 7,4 MB
English | 2014 | ISBN: 1466560460 | 622 pages | PDF | 7,4 MB
Mathematical Statistics for Applied Econometrics (repost) eBooks & eLearning
Posted by interes at June 30, 2015
Mathematical Statistics for Applied Econometrics by Charles B Moss
English | 2014 | ISBN: 1466594098 | 363 pages | PDF | 3,6 MB
English | 2014 | ISBN: 1466594098 | 363 pages | PDF | 3,6 MB
A Course in Mathematical Statistics and Large Sample Theory eBooks & eLearning
Posted by interes at Nov. 20, 2016
A Course in Mathematical Statistics and Large Sample Theory by Rabi Bhattacharya and Lizhen Lin
English | 2016 | ISBN: 1493940309 | 389 pages | PDF | 5 MB
English | 2016 | ISBN: 1493940309 | 389 pages | PDF | 5 MB
First Pannonian Symposium On Mathematical Statistics. (Lecture Notes in Statistics 8) by P. Revesz eBooks & eLearning
Posted by BUGSY at June 23, 2015
First Pannonian Symposium On Mathematical Statistics. (Lecture Notes in Statistics 8) by P. Revesz
English | June 5, 1981 | ISBN: 0387905839 | 316 Pages | PDF | 7 MB
English | June 5, 1981 | ISBN: 0387905839 | 316 Pages | PDF | 7 MB
The first Pannonian Symposium on Mathematical Statistics was held at Bad Tatzmannsdorf (Burgenland/Austria) from September 16th to 21st, 1979. The aim of it was to furthe~ and intensify scientific cooperation in the Pannonian area, which, in a broad sense, can be understood to cover Hungary…
A Course in Mathematical Statistics and Large Sample Theory eBooks & eLearning
Posted by AvaxGenius at Oct. 16, 2017
A Course in Mathematical Statistics and Large Sample Theory By Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
English | PDF(Repost),EPUB | 2016 | 386 Pages | ISBN : 1493940309 | 12.22 MB
This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous presentation of the core of mathematical statistics.