Quantitative Business Analysis for UiTM 2nd Edition
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Business Analysis and Valuation, Third IFRS Edition provides comprehensive coverage on how to use financial statement data in a variety of business analysis and valuation contexts. The text’s key strength is that it both offers a framework for business analysis and valuation but also shows how this framework can be applied in a variety of decision-making contexts. The text is thoroughly IFRS based. For example, the chapters on accounting analysis prepare students for the task of analyzing IFRS-based financial statements; all numerical examples of accounting adjustments describe adjustments to IFRS-based financial statements; and the terminology used throughout is IFRS-consistent. Business Analysis and Valuation, Third IFRS Edition is ideal for modules in financial statement analysis taken by MBA students, Masters in Accounting students, Executive Program participants and upper level undergraduates in accounting and finance.
How To Be Happy: How Developing Your Confidence, Resilience, Appreciation and Communication Can Lead to a Happier, Healthier You
We all have the capacity to be happy. There may be occasions in your life where this seems a challenging concept, however there are some very definite things that you can do to make sure that you are happy more often than not. After all, happy people get sick less often, they have more energy, are more creative, sustain more positive relationships and are more fun to be around.
With the help of Liggy Webb, you can create your own personal happiness toolkit! How to be Happy will help you feel more self-empowered and in control of any situation, helping you progress in your work and personal life.
You will learn how to:
• Build your self-confidence to make the best of who you are
• Be open to learning new things, to become more effective and creative
• Develop an attitude of gratitude to appreciate life more
• Encourage and sustain positive relationships
• Build your resilience and emotional strength to cope with stress and manage change
• Foster a healthy attitude and get fit for life
You can make the decision right now to be happier if you really want to be. Life is what you make it – so learn how to be happy, effective and energetic – and watch how it inspires those around you.
Since its inception, An Introduction to Business Ethics by Joseph DesJardins has been a cutting-edge resource for the business ethics course. Desjardins’ unique multidisciplinary approach offers critical analysis and integrates the perspective of philosophy with management, law, economics, and public policy, providing a clear, concise, yet reasonably comprehensive introductory survey of the ethical choices available to us in business.
About the Author
Joe DesJardins is Professor in the philosophy department formed jointly by the College of St. Benedict and St. John’s University in Minnesota. He presently serves as the Executive Director of the Society for Business Ethics. Among his publications are: An Introduction to Business Ethics (McGraw Hill), Environmental Ethics: An Introduction to Environmental Philosophy (Wadsworth), of Contemporary Issues in Business Ethics, co-editor, with John McCall, (5th Ed, Wadsworth) , and the forthcoming Business, Ethics, and Sustainability: Ethics for the Next Industrial Revolution (Prentice Hall). He received his Ph.D. from the University of Notre Dame and taught for many years at Villanova University before moving to Minnesota.
The new edition of Essentials of Business Statistics delivers clear and understandable explanations of core business statistics concepts, making it ideal for a one-term course in business statistics. The author team emphasize the importance of interpreting statistical results to make effective decisions to improve business processes. The text offers real applications of statistics that are relevant to today’s business students which can be seen in the continuing case studies throughout the book. Continuing cases span throughout a chapter or even groups of chapters, easing students into new topic areas.
About the Author
Bruce L. Bowerman is a professor of decision sciences at Miami University in Oxford, Ohio. He received his Ph.D. degree in statistics from Iowa State University in 1974, and he has over 37 years of experience teaching basic statistics, regression analysis, time series forecasting, survey sampling, and design of experiments to both undergraduate and graduate students. In 1987 Professor Bowerman received an Outstanding Teaching award from the Miami University senior class, and in 1992 he received and Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. O’Connell, Professor Bowerman has written 11 textbooks. These include Forecasting and Time Series: An Applied Approach and Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); The first edition of Forecasting and Time Series earned an Outstanding Academic Book award from Choice magazine.
Richard T. O’Connell is an associate professor of decision sciences at Miami University in Oxford, Ohio. He has more than 32 years of experience teaching basic statistics, statistical quality control and process improvement, regression analysis, time series forecasting, and design of experiments to both undergraduate and graduate business students. In 2000 Professor O’Connell received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Bruce L. Bowerman, he has written seven textbooks. These include Forecasting and Time Series: An Applied Approach and Linear Statistical Models: An Applied Approach. He is one of the first college instructors in the United States to integrate statistical process control and process improvement methodology into his basic business statistics course. He (with Professor Bowerman) has written several articles advocating this approach.
James Burdeane “Deane” Orris J.B. Orris is a professor of management science at Butler University in Indianapolis, Indiana. He received his Ph.D. from the University of Illinois in 1971, and in the late 1970s with the advent of personal computers, he combined his interest in statistics and computers to write one of the first personal computer statistics packages—MICROSTAT. Over the past 20 years, MICROSTAT has evolved into MegaStat, which is an Excel add-in statistics program. In 1999 he wrote an Excel book (Essentials: Excel 2000 Advanced) and has done work in neural networks, spreadsheet simulation, and statistical analysis for many research projects. He has taught statistics and computer courses in the College of Business Administration of Butler University since 1971. He is a member of the American Statistical Association and is past president of the Central Indiana Chapter. In his spare time, Professor Orris enjoys reading, working out, and working in his woodworking shop.