Coverart for item
The Resource Multivariate Methods and Forecasting with IBM® SPSS® Statistics, by Abdulkader Aljandali, (electronic resource)

Multivariate Methods and Forecasting with IBM® SPSS® Statistics, by Abdulkader Aljandali, (electronic resource)

Label
Multivariate Methods and Forecasting with IBM® SPSS® Statistics
Title
Multivariate Methods and Forecasting with IBM® SPSS® Statistics
Statement of responsibility
by Abdulkader Aljandali
Creator
Subject
Language
eng
Summary
This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques. More often than not, regression models involve more than one independent variable. For example, forecasting methods are commonly applied to aggregates such as inflation rates, unemployment, exchange rates, etc., that have complex relationships with determining variables. This book introduces multivariate regression models and provides examples to help understand theory underpinning the model. The book presents the fundamentals of multivariate regression and then moves on to examine several related techniques that have application in business-orientated fields such as logistic and multinomial regression. Forecasting tools such as the Box-Jenkins approach to time series modeling are introduced, as well as exponential smoothing and naïve techniques. This part also covers hot topics such as Factor Analysis, Discriminant Analysis and Multidimensional Scaling (MDS). Utilizes the popular and accessible IBM SPSS Statistics software package to teach data analysis for business and finance in a step-by-step approach A comprehensive, in-depth guide—especially relative to the competition Explains the statistical assumptions and rationales underpinning application of the IBM SPSS for Statistics package, instead of simply presenting techniques More than 100 color graphs, screenshots, and figures Includes directed download of the software, IBM SPSS Statistics 24 [current version] Abdulkader Aljandali, Ph.D., is Senior Lecturer at Regent’s University London. He currently leads the Business Forecasting and the Quantitative Finance module at Regent’s in addition to acting as a Visiting Professor for various universities across the UK, Germany and Morocco. Dr Aljandali is an established member of the Higher Education Academy (HEA) and an active member of the British Accounting and Finance Association (BAFA). “This is an excellent book for learning SPSS and a long awaited addition for teaching statistics in business and finance studies. The emphasis is on the effective use of SPSS and on correctly applying and interpreting results. A wonderful guide I have found so far.” - Dr Yacine Belghitar - Cranfield University “Dr Aljandali's book fills an important gap in the area of applied economics by making econometric concepts easier to grasp and apply using SPSS software, which makes it an invaluable handbook for students, researchers and practitioners.” - Dr Mete Feridun - University of Cambridge.--
Member of
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Aljandali, Abdulkader
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
Series statement
  • Springer eBooks
  • Statistics and Econometrics for Finance,
http://library.link/vocab/subjectName
  • Statistics
  • Business enterprises
  • Big data
  • Economics, Mathematical
Label
Multivariate Methods and Forecasting with IBM® SPSS® Statistics, by Abdulkader Aljandali, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=http://dx.doi.org/10.1007/978-3-319-56481-4
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1 Multivariate Regression -- 2 Other Useful Topics in Regression -- 3 The Box-Jenkins Methodology -- 4 Exponential Smoothing and Naïve Models -- 5 Factor Analysis -- 6 Discriminant Analysis -- 7 Multidimensional Scaling -- 8 Hierarchical Log-Linear Analysis -- 9 Testing for Independence -- 10 Testing for Differences Between Groups -- 11 Current and Constant Prices
Control code
978-3-319-56481-4
Dimensions
unknown
Extent
1 online resource (XVII, 178 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319564814
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-56481-4
Other physical details
133 illustrations, 80 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)993254816
Label
Multivariate Methods and Forecasting with IBM® SPSS® Statistics, by Abdulkader Aljandali, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=http://dx.doi.org/10.1007/978-3-319-56481-4
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1 Multivariate Regression -- 2 Other Useful Topics in Regression -- 3 The Box-Jenkins Methodology -- 4 Exponential Smoothing and Naïve Models -- 5 Factor Analysis -- 6 Discriminant Analysis -- 7 Multidimensional Scaling -- 8 Hierarchical Log-Linear Analysis -- 9 Testing for Independence -- 10 Testing for Differences Between Groups -- 11 Current and Constant Prices
Control code
978-3-319-56481-4
Dimensions
unknown
Extent
1 online resource (XVII, 178 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319564814
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-56481-4
Other physical details
133 illustrations, 80 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)993254816

Library Locations

    • Badia FiesolanaBorrow it
      Via dei Roccettini 9, San Domenico di Fiesole, 50014, IT
      43.803074 11.283055
Processing Feedback ...