The book is organized in a modular fashion. After reading Part One, the other parts can be read in a number of possible sequences. Figure 0.1a shows the bottom-up approach provided by reading the book from front to back. With this approach, each part builds on the material in the previous part, so that it is always clear how a given layer of functionality is supported from below. There is more …
This publication is designed to provide (Master’s and PhD) students with a concise introduction to research, especially, in organisations. The aim is to familiarise them with the knowledge they need to make well-reasoned methodological choices when preparing an (applied) approach and provide them with the tools they need to develop what is referred to in this book as a research design. Wh…
This book has not been written for fellow academic methodologists. It is mainly aimed at teachers and lecturers who want to pay attention to methodology in their courses. This may involve working on research assignments, explaining certain methodological aspects of specialised knowledge, as well as supervising Master’s and, sometimes, PhD projects. Above all, this book is aimed at students wh…
Econometrics by Example (EBE) is written primarily for undergraduate students in economics, accounting, finance, marketing, and related disciplines. It is also intended for students in MBA programs and for researchers in business, government, and re- search organizations. There are several excellent textbooks in econometrics, written from very elementary to very advanced levels. The writers of…
Econometrics by Example (EBE) is written primarily for undergraduate students in economics, accounting, finance, marketing, and related disciplines. It is also intended for students in MBA programs and for researchers in business, government, and re- search organizations. There are several excellent textbooks in econometrics, written from very elementary to very advanced levels. The writers of…
Statistics is concerned with the science of uncertainty and can help the scientist deal with these questions. Many classical methods (regression, hypothesis testing, parameter estimation, confidence intervals, etc.) of statistics developed over the last century are familiar to scientists and are widely used in many disciplines [Efron and Tibshirani, 1991]. Now, what do we mean by computational…