國立高雄大學圖資館 |

Language: English

Back

Predictive analytics :parametric models for regression and classification using R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Predictive analytics :Ajit C. Tamhane ; with contributions from Edward C. Malthouse.
Reminder of title:	parametric models for regression and classification using R /
Author:	Tamhane, Ajit C.,
other author:	Malthouse, Edward C.,
Published:	Hoboken, NJ :John Wiley & Sons, Inc.,2021.
Description:	xxi, 359 p. :ill. ;26 cm.
Subject:	Data miningStatistical methods.
ISBN:	9781118948897 :

Predictive analytics :parametric models for regression and classification using R /
Tamhane, Ajit C.,

Predictive analytics :parametric models for regression and classification using R /Ajit C. Tamhane ; with contributions from Edward C. Malthouse. - Hoboken, NJ :John Wiley & Sons, Inc.,2021. - xxi, 359 p. :ill. ;26 cm. - Wiley series in probability and statistics. - Wiley series in probability and statistics..

Includes bibliographical references (p. 339-341) and index.

"Predictive analytics is the branch of data mining concerned with the prediction of future probabilities and trends. The central element of predictive analytics is the predictor, a variable that can be measured for an individual or other entity to predict future behavior. For example, an insurance company is likely to take into account potential driving safety predictors such as age, gender, and driving record when issuing car insurance policies. Multiple predictors are combined into a predictive model, which, when subjected to analysis, can be used to forecast future probabilities with an acceptable level of reliability. In predictive modeling, data is collected, a statistical model is formulated, predictions are made and the model is validated (or revised) as additional data becomes available. Predictive analytics are applied to many research areas, including meteorology, security, genetics, economics, and marketing, among others. The use of a computer can alleviate stressful computations, especially those involving big data"--

ISBN: 9781118948897 :NT$4087

LCCN: 2020034678Subjects--Topical Terms:

289696
Data mining
--Statistical methods.

LC Class. No.: QA76.9.D343 / T349 2021

Dewey Class. No.: 006.3/12

Predictive analytics :parametric models for regression and classification using R /
LDR:02173cam a2200289 a 4500 001 676204
003 OCoLC
005 20250620022348.0
008 250827s2021 njua b 001 0 eng
010 $a 2020034678
019 $a 1104906789
020 $a 9781118948897 : $c NT$4087
020 $a 1118948890
020 $z 9781118948910 (Adobe pdf)
020 $z 9781118948903 (epub)
035 $a (OCoLC)1182021956 $z (OCoLC)1104906789
035 $a on1182021956
040 $a DLC $b eng $c DLC $d OCLCO $d OCLCF $d YDX $d BDX $d YDX $d OCLCO $d OCLCL
042 $a pcc
050 0 0 $a QA76.9.D343 $b T349 2021
082 0 0 $a 006.3/12 $2 23
100 1 $a Tamhane, Ajit C., $e author. $3 989927
245 1 0 $a Predictive analytics : $b parametric models for regression and classification using R / $c Ajit C. Tamhane ; with contributions from Edward C. Malthouse.
260 $a Hoboken, NJ : $b John Wiley & Sons, Inc., $c 2021.
300 $a xxi, 359 p. : $b ill. ; $c 26 cm.
490 1 $a Wiley series in probability and statistics
504 $a Includes bibliographical references (p. 339-341) and index.
520 $a "Predictive analytics is the branch of data mining concerned with the prediction of future probabilities and trends. The central element of predictive analytics is the predictor, a variable that can be measured for an individual or other entity to predict future behavior. For example, an insurance company is likely to take into account potential driving safety predictors such as age, gender, and driving record when issuing car insurance policies. Multiple predictors are combined into a predictive model, which, when subjected to analysis, can be used to forecast future probabilities with an acceptable level of reliability. In predictive modeling, data is collected, a statistical model is formulated, predictions are made and the model is validated (or revised) as additional data becomes available. Predictive analytics are applied to many research areas, including meteorology, security, genetics, economics, and marketing, among others. The use of a computer can alleviate stressful computations, especially those involving big data"-- $c Provided by publisher.
650 0 $a Data mining $x Statistical methods. $3 289696
650 0 $a Probabilities. $3 182046
650 0 $a R (Computer program language) $3 210846
700 1 $a Malthouse, Edward C., $e contributor. $3 989928
776 0 8 $i Online version: $a Tamhane, Ajit C., $t Predictive analytics $d Hoboken : Wiley, 2020. $z 9781118948910 $w (DLC) 2020034679
830 0 $a Wiley series in probability and statistics. $3 324851