國立虎尾科技大學 |

Quantitative analysis and IBM SPSS statistics = a guide for business and finance /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Quantitative analysis and IBM SPSS statistics/ by Abdulkader Aljandali.
Reminder of title:	a guide for business and finance /
Author:	Aljandali, Abdulkader.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xxi, 184 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Commercial statistics. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-45528-0
ISBN:	9783319455280

Quantitative analysis and IBM SPSS statistics = a guide for business and finance /
Aljandali, Abdulkader.

Quantitative analysis and IBM SPSS statisticsa guide for business and finance /[electronic resource] :by Abdulkader Aljandali. - Cham :Springer International Publishing :2016. - xxi, 184 p. :ill. (some col.), digital ;24 cm. - Statistics and econometrics for finance,2199-093X. - Statistics and econometrics for finance..

1 Getting Started with SPSS -- 2 Graphics and Introductory Statistical Analysis of Data -- 3 Frequencies and Crosstabulations -- 4 Coding, Missing Values, Conditional and Arithmetic Operations -- 5 Hypothesis Tests Concerning Means -- 6 Nonparametric Hypothesis Tests -- 7 Bivariate Correlation and Regression -- 8 Multivariate Regression -- 9 Logistic Regression.

This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum. Abdulkader Aljandali, Ph.D., is a Senior Lecturer in Quantitative Finance and Business Forecasting at Regent's University London. He acts as a visiting professor at overseas institutions in Canada, France, and Morocco.

ISBN: 9783319455280

Standard No.: 10.1007/978-3-319-45528-0doiSubjects--Uniform Titles:

SPSS (Computer file)
Subjects--Topical Terms:

596217
Commercial statistics.

LC Class. No.: HF1017

Dewey Class. No.: 330.015195

Quantitative analysis and IBM SPSS statistics = a guide for business and finance /
LDR:03318nam a2200337 a 4500 001 868300
003 DE-He213
005 20161109165713.0
006 m d
007 cr nn 008maaau
008 170720s2016 gw s 0 eng d
020 $a 9783319455280 $q (electronic bk.)
020 $a 9783319455273 $q (paper)
024 7 $a 10.1007/978-3-319-45528-0 $2 doi
035 $a 978-3-319-45528-0
040 $a GP $c GP
041 0 $a eng
050 4 $a HF1017
072 7 $a PBT $2 bicssc
072 7 $a K $2 bicssc
072 7 $a BUS061000 $2 bisacsh
082 0 4 $a 330.015195 $2 23
090 $a HF1017 $b .A414 2016
100 1 $a Aljandali, Abdulkader. $3 1115826
245 1 0 $a Quantitative analysis and IBM SPSS statistics $h [electronic resource] : $b a guide for business and finance / $c by Abdulkader Aljandali.
260 $a Cham : $c 2016. $b Springer International Publishing : $b Imprint: Springer,
300 $a xxi, 184 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Statistics and econometrics for finance, $x 2199-093X
505 0 $a 1 Getting Started with SPSS -- 2 Graphics and Introductory Statistical Analysis of Data -- 3 Frequencies and Crosstabulations -- 4 Coding, Missing Values, Conditional and Arithmetic Operations -- 5 Hypothesis Tests Concerning Means -- 6 Nonparametric Hypothesis Tests -- 7 Bivariate Correlation and Regression -- 8 Multivariate Regression -- 9 Logistic Regression.
520 $a This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum. Abdulkader Aljandali, Ph.D., is a Senior Lecturer in Quantitative Finance and Business Forecasting at Regent's University London. He acts as a visiting professor at overseas institutions in Canada, France, and Morocco.
630 0 0 $a SPSS (Computer file) $3 556045
650 0 $a Commercial statistics. $3 596217
650 1 4 $a Statistics. $3 556824
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 669275
650 2 4 $a Statistical Theory and Methods. $3 671396
650 2 4 $a Big Data/Analytics. $3 1106909
650 2 4 $a Business Finance. $3 1069042
650 2 4 $a Quantitative Finance. $3 669372
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Statistics and econometrics for finance. $3 1115827
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-45528-0
950 $a Mathematics and Statistics (Springer-11649)