語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Quantitative Analysis and IBM® SPSS®...
~
Aljandali, Abdulkader.
Quantitative Analysis and IBM® SPSS® Statistics = A Guide for Business and Finance /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Quantitative Analysis and IBM® SPSS® Statistics/ by Abdulkader Aljandali.
其他題名:
A Guide for Business and Finance /
作者:
Aljandali, Abdulkader.
面頁冊數:
XXI, 184 p. 143 illus., 119 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Statistics . -
電子資源:
https://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® Statistics
A Guide for Business and Finance /[electronic resource] :by Abdulkader Aljandali. - 1st ed. 2016. - XXI, 184 p. 143 illus., 119 illus. in color.online resource. - 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--Topical Terms:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 330.015195
Quantitative Analysis and IBM® SPSS® Statistics = A Guide for Business and Finance /
LDR
:03743nam a22004215i 4500
001
972592
003
DE-He213
005
20200702123530.0
007
cr nn 008mamaa
008
201211s2016 gw | s |||| 0|eng d
020
$a
9783319455280
$9
978-3-319-45528-0
024
7
$a
10.1007/978-3-319-45528-0
$2
doi
035
$a
978-3-319-45528-0
050
4
$a
QA276-280
072
7
$a
PBT
$2
bicssc
072
7
$a
BUS061000
$2
bisacsh
072
7
$a
PBT
$2
thema
072
7
$a
K
$2
thema
082
0 4
$a
330.015195
$2
23
100
1
$a
Aljandali, Abdulkader.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$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.
250
$a
1st ed. 2016.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
XXI, 184 p. 143 illus., 119 illus. in color.
$b
online resource.
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
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.
650
0
$a
Statistics .
$3
1253516
650
0
$a
Big data.
$3
981821
650
0
$a
Business enterprises—Finance.
$3
1253877
650
0
$a
Economics, Mathematical .
$3
1253712
650
1 4
$a
Statistics for Business, Management, Economics, Finance, Insurance.
$3
1211158
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 Nature eBook
776
0 8
$i
Printed edition:
$z
9783319455273
776
0 8
$i
Printed edition:
$z
9783319455297
776
0 8
$i
Printed edition:
$z
9783319833125
830
0
$a
Statistics and Econometrics for Finance,
$x
2199-093X
$3
1267701
856
4 0
$u
https://doi.org/10.1007/978-3-319-45528-0
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入