Linear models in the mathematics of uncertainty /
The purpose of this book is to present new mathematical techniques for modeling global issues. These mathematical techniques are used to determine linear equations between a dependent variable and one or more independent variables in cases where standard techniques such as linear regression are not...
Saved in:
| Main Author: | |
|---|---|
| Corporate Author: | |
| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2013.
|
| Series: | Studies in Computational Intelligence
463 |
| Subjects: | |
| Online Access: | Click here to view the full text content |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 02693nam a2200433 i 4500 | ||
|---|---|---|---|
| 001 | vtls000111578 | ||
| 003 | MY-ArUMP | ||
| 005 | 20210731152405.0 | ||
| 006 | m fo d | ||
| 007 | cr nn 008mamaa | ||
| 008 | 131031s2013 gw | fs |||| 0|eng d | ||
| 020 | |a 9783642352249 | ||
| 039 | 9 | |a 201409041548 |b SMI |c 201310311429 |d VLOAD |y 201310081659 |z NY | |
| 040 | |a MYPMP |b eng |c MYPMP |e rda | ||
| 100 | 1 | |a Mordeson, John N. |e author | |
| 245 | 1 | 0 | |a Linear models in the mathematics of uncertainty / |c by John N. Mordeson [and four others] |
| 264 | 1 | |a Berlin, Heidelberg |b Springer Berlin Heidelberg |c 2013. | |
| 300 | |a 1 online resource (XXVIII, 265 pages) 14 illustration. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Studies in Computational Intelligence |x 1860-949X |v 463 | |
| 520 | |a The purpose of this book is to present new mathematical techniques for modeling global issues. These mathematical techniques are used to determine linear equations between a dependent variable and one or more independent variables in cases where standard techniques such as linear regression are not suitable. In this book, we examine cases where the number of data points is small (effects of nuclear warfare), where the experiment is not repeatable (the breakup of the former Soviet Union), and where the data is derived from expert opinion (how conservative is a political party). In all these cases the data is difficult to measure and an assumption of randomness and/or statistical validity is questionable. We apply our methods to real world issues in international relations such as nuclear deterrence, smart power, and cooperative threat reduction. We next apply our methods to issues in comparative politics such as successful democratization, quality of life, economic freedom, political stability, and failed states. Finally, issues involving deaf and hard of hearing children are explored. | ||
| 650 | 0 | |a Engineering. | |
| 700 | 1 | |a Wierman, Mark J. | |
| 700 | 1 | |a Clark, Terry D. | |
| 700 | 1 | |a Pham, Alex. | |
| 700 | 1 | |a Redmond, Michael A. | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer eBooks | |
| 776 | 0 | 8 | |i Printed edition |z 9783642352232 |
| 830 | 0 | |a Studies in Computational Intelligence |x 1860-949X |v 463 | |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1007/978-3-642-35224-9 |y Click here to view the full text content |
| 942 | |2 lcc |c BK-EBOOK | ||
| 949 | |a VIRTUAITEM |d 10011 |x 9 | ||
| 950 | |a Engineering (Springer-11647) | ||
| 999 | |c 52869 |d 52869 | ||
| 952 | |0 0 |1 0 |2 lcc |4 0 |7 0 |9 48203 |a FSGM |b FSGM |d 2021-07-31 |l 0 |r 2021-07-31 |w 2021-07-31 |y BK-EBOOK | ||