On labor law and legislations in Indonesia; papers of discussions.
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.
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 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).
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.
The balanced scorecard is a strategic planning and management system that is used extensively in business and industry, government, and non-profit organizations worldwide to align business activities to the vision and strategy of the organization, improve internal and external communications, and monitor organization performance against strategic goals. The key problem identified in business is that many companies tended to manage their businesses based solely on financial measures. While that may have worked well in the past, the pace of business in today's world requires more comprehensive measures. Though financial measures are necessary, they can only report what has happened in the past; where a business has been, but not where it is headed. It is like driving a car by looking in the rear-view mirror.
The Balanced Scorecard transforms an organization's strategic plan from an
attractive but passive document into the 'marching orders' for the organization on
a daily basis. It provides a framework that not only provides performance ...
This reference provides clear installation tips and excellent lessons to the two most popular 3D modeling and animation tools. Jeff Hester offers style and composition tips that will allow the reader to create aesthetically appealing presentations with a minimum of effort. Covers Release 3.
If you do not, then export the simpler model to 3D Studio and do the Boolean
operations and final modeling there. AutoDesk's soon to be released
Professional Designer promises to be a powerful solid modeler that should be
strongly ...
Since 2005, UNCTAD's Intergovernmental Working Group of Experts on International Standards of Accounting and Reporting (ISAR) has been deliberating on practical implementation challenges of the International Financial Reporting Standards (IFRS). This publications contains details of major practical implementation challenges and lessons learned from the experiences of member States that have embarked on the implementation process of IFRS, along with country case studies on Brazil, Germany, India, Jamaica,Kenya, Pakistan, South Africa and Turkey.
Since 2005, UNCTAD's Intergovernmental Working Group of Experts on International Standards of Accounting and Reporting (ISAR) has been deliberating on practical implementation challenges of the International Financial Reporting Standards ...
