| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
00000cam a2200000 i 4500 |
| 001 |
in00004058310 |
| 005 |
20190718162838.0 |
| 008 |
180828t20192019enka b 001 0 eng c |
| 010 |
|
|
|a 2018037697
|
| 020 |
|
|
|a 9781107185920
|q hardcover
|
| 020 |
|
|
|a 1107185920
|q hardcover
|
| 035 |
|
|
|a (OCoLC)on1057241640
|
| 040 |
|
|
|a DLC
|e rda
|c DLC
|d UtOrBLW
|
| 049 |
|
|
|a TXAM
|
| 050 |
0 |
0 |
|a QA276
|b .M73 2019
|
| 082 |
0 |
0 |
|a 519.5/4
|2 23
|
| 100 |
1 |
|
|a Moulin, Pierre,
|d 1963-
|e author.
|0 http://id.loc.gov/authorities/names/no2018135277
|
| 245 |
1 |
0 |
|a Statistical inference for engineers and data scientists /
|c Pierre Moulin, University of Illinois, Urbana-Champaign, Venugopal V. Veeravalli, University of Illinois, Urbana-Champaign.
|
| 264 |
|
1 |
|a Cambridge ;
|a New York :
|b Cambridge University Press,
|c [2019]
|
| 264 |
|
4 |
|c ©2019
|
| 300 |
|
|
|a xxi, 399 pages :
|b illustrations ;
|c 26 cm.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a unmediated
|b n
|2 rdamedia
|
| 338 |
|
|
|a volume
|b nc
|2 rdacarrier
|
| 504 |
|
|
|a Includes bibliographical references and index.
|
| 505 |
0 |
|
|a Introduction -- Binary hypothesis testing -- Multiple hypothesis testing -- Composite hypothesis testing -- Signal detection -- Convex statistical distances -- Performance bounds for hypothesis testing -- Large deviations and error exponents for hypothesis testing -- Sequential and quickest change detection -- Detection of random processes -- Bayesian parameter estimation -- Minimum variance unbiased estimation -- Information Inequality and Cramér-Rao lower bounds -- Maximum likelihood estimation -- Signal estimation.
|
| 520 |
|
|
|a Statistical Inference for Engineers and Data Scientists A mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation and an invaluable reference for researchers and professionals.
|
| 650 |
|
0 |
|a Mathematical statistics.
|0 http://id.loc.gov/authorities/subjects/sh85082133
|
| 650 |
|
0 |
|a Engineering
|x Statistical methods.
|0 http://id.loc.gov/authorities/subjects/sh85043194
|
| 650 |
|
0 |
|a Quantitative research.
|0 http://id.loc.gov/authorities/subjects/sh2007000909
|
| 700 |
1 |
|
|a Veeravalli, Venugopal V.,
|d 1963-
|e author.
|0 http://id.loc.gov/authorities/names/n2017052837
|
| 945 |
|
|
|b 969991
|
| 947 |
|
|
|a A14850757858
|
| 948 |
|
|
|a cataloged
|b h
|c 2019/4/11
|d c
|e dmitchel
|f 9:30:20 am
|
| 994 |
|
|
|a 92
|b TXA
|
| 999 |
f |
f |
|s 633f22a3-767a-38cf-a8fd-3c07e385e245
|i 1ea31455-97c3-35d5-b483-308d9d5b490c
|t 0
|
| 952 |
f |
f |
|p newbook
|a Texas A&M University
|b College Station
|c Sterling C. Evans Library
|d Evans: New Book Shelves (1st floor)
|t 0
|e QA276 .M73 2019
|h Library of Congress classification
|i unmediated -- volume
|m A14850757858
|
| 998 |
f |
f |
|a QA276 .M73 2019
|t 0
|l Evans: Library Stacks
|