MARC details
000 -LEADER |
fixed length control field |
01448nam a22003137a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
PILC |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20170503130924.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
170307b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781118940013 (pbk) |
|
International Standard Book Number |
9781118940020 (ePub) |
|
International Standard Book Number |
9781118940037 (ePDF) |
040 ## - CATALOGING SOURCE |
Transcribing agency |
JRU Library |
Description conventions |
rda |
Language of cataloging |
eng |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.31201422 |
Item number |
.An545 2015 |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Anderson, Alan. |
9 (RLIN) |
123812 |
245 ## - TITLE STATEMENT |
Title |
Statistics for big data for dummies / |
Statement of responsibility, etc. |
by Alan Anderson, PhD, Finance, economics, statistics, and math instructor with David Semmelroth. |
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
New Jersey : |
Name of producer, publisher, distributor, manufacturer |
John Wiley & Sons, Inc., |
Date of production, publication, distribution, manufacture, or copyright notice |
c2015. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xii, 366 pages ; |
Dimensions |
24 cm |
336 ## - CONTENT TYPE |
Content type term |
text |
337 ## - MEDIA TYPE |
Media type term |
unmediated |
338 ## - CARRIER TYPE |
Carrier type term |
volume |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
For dummies. |
9 (RLIN) |
123813 |
500 ## - GENERAL NOTE |
General note |
Includes index. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
"The book is intended as an overview of the field of big data, with a focus on the statistical methods used. It also provides a look at several key applications of big data. Big data is a broad topic; it includes quantitative subjects such as math, statistics, computer science, and data science. Big data also covers many applications, such as weather forecasting, financial modeling, political polling methods, and so forth." --Introduction. |
521 ## - TARGET AUDIENCE NOTE |
Target audience note |
Adult |
546 ## - LANGUAGE NOTE |
Language note |
Text in English |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Big data |
General subdivision |
Statistical methods. |
9 (RLIN) |
123814 |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Semmelroth, David, |
Relator term |
author. |
9 (RLIN) |
123815 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Print Materials |