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Gesamtkatalog

Catalogue complet

Mertler Craig A.: Advanced and
Multivariate Statistical Methods

Advanced and Multivariate Statistical Methods

Practical Application and Interpretation

Chapman & Hall/CRC The R Series

Work Automation with R

Routledge Studies in Marketing

Visual Methods in Marketing and Consumer Research

Routledge International Studies in Money and Banking

As an integral part of the world financial market, the global asset management industry has played a significant role in almost every critical event and change in the world financial market over the past four decades. Its growth has been facilitated from the financial innovations in products and management technologies from various financial institutions. It is definitely a challenge to comprehend the dynamic linkage between the global asset management industry and the world financial market, institutions and products. This book takes the challenge by providing a systematic and analytical review of the dynamic development of global asset management industry in its market structure, product diversities, risk management technologies and performance. The book aims at offering researchers, investors and financial practitioners a comprehensive introduction on how the dynamic development of global asset management industry has been integrated with the fast changing world financial market, institutions and products. As wealth or asset management is becoming a popular and specialized subject offered in university financial courses, this book may serve as a key textbook for financial courses in universities.

The Dynamic Development of Global Asset Management Industry

Routledge Studies in Sustainability

This book offers a comprehensive analysis of the background, practice, potential and challenges associated with developing and using perceptual indicators for assessing sustainability.

Theory and Practice of Perception Indicators in Sustainability

Sustainability Perception Indicators

Elements in Leadership

A Practical Capacity-Building Learning Ecosystem for Accelerating Leadership and Advancing Practice

Cultivating Growth Mindset as a Leadership Catalyst

Navigate the MBA research journey with clear methodology, structure and confidence. Research Methods for MBA Students by Emmanuel Mogaji is a concise and practical textbook designed for postgraduate students undertaking business research modules and projects. Recognizing the time pressures and applied focus of MBA and Masters programs, it provides a structured pathway for completing a dissertation or company-based research project within tight deadlines. Mirroring the key stages of the research process, the book guides students through topic selection, refining research questions, conducting a focused literature review and choosing appropriate qualitative or quantitative methods. It then supports effective data collection, rigorous analysis and the presentation of meaningful, actionable findings. A distinctive three-month completion framework provides a clear timeline that aligns with MBA program structures, helping students manage milestones and maintain momentum. Grounded in real-world examples from organizations including AstraZeneca, Bentley Motors, the NHS, Holland and Barrett and Railway Operators, Emmanuel Mogaji connects academic research principles with applied business problem solving. This textbook includes: - Clear learning outcomes aligned to postgraduate research modules - Worked examples demonstrating each stage of the research process - Key concepts and terms to support methodological understanding - Exercise questions and real-world examples with applied tasks &gt;Supported by online lecturer slides and a comprehensive lecturer's manual with exercise answers, Research Methods for MBA Students equips postgraduate learners with the skills and structure needed to deliver credible, practice-oriented research.

Completing Projects and Dissertations

Research Methods for MBA Students

Routledge Revivals

Planning the Mexican Economy (originally published in 1984), based on original research, looks at how the problems induced by oil led development have been and might be faced in the Mexican economy. It uses econometric modelling to chart the relationship between different sectors of the economy.

Alternative Development Strategies

Planning the Mexican Economy

This book covers calculus, linear algebra, probability and statistics, and computer programming (using Python) at the level required in strong, technically-oriented undergraduate and masters level economics programs. It is the first of a two-volume set, with the second volume focusing on mathematics and programming for networks and dynamic models. Together, the two volumes cover mathematics and programming used in economics, econometrics, data science, machine learning and artificial intelligence. It is intended to be used as a main text for mathematics for economics courses ranging from intermediate to masters levels, and as a resource or reference text for other economics, econometrics and data science courses. It should also be useful as a reference text for economics and data science practitioners who wish to learn more about the mathematics of these subjects.

Mathematics And Programming For The Quantitative Economist: Fundamentals

Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Handbook of Statistics of Extremes

A foundational treatment of discrete choice models, with a focus on random utility models Discrete choice models are essential tools for understanding decision-making when individuals must choose among alternatives. They have applications across the social sciences, notably in economics, marketing, and political science. This book offers a foundational treatment of discrete choice models, introducing the logit model and its generalizations, logistic and Poisson regressions, and generalized linear models, and demonstrates their use in analyzing important econometric models. These include international trade gravity, demand estimation, matching with and without transfers, hedonic markets, and dynamic discrete choice. Bridging theoretical clarity and practical applicability, the book is suitable for use in graduate-level coursework and will be an essential resource for researchers and practitioners. • Extensive coverage of computational issues, focusing on optimization and the reformulation as generalized linear models • Emphasis on econometric questions, including simulation, estimation, and inference methods, with estimation techniques based on both simulated and actual datasets • A substantial set of exercises and problems at the end of each chapter • Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples

Mathematical Methods, Econometrics, and Data Science

Discrete Choice Models

Why do we use eighty-year-old metrics to understand today’s economy? The ways that statisticians and governments measure the economy were developed in the 1940s, when the urgent economic problems were entirely different from those of today. In The Measure of Progress, Diane Coyle argues that the framework underpinning today’s economic statistics is so outdated that it functions as a distorting lens, or even a set of blinkers. When policymakers rely on such an antiquated conceptual tool, how can they measure, understand, and respond with any precision to what is happening in today’s digital economy? Coyle makes the case for a new framework, one that takes into consideration current economic realities. Coyle explains why economic statistics matter. They are essential for guiding better economic policies; they involve questions of freedom, justice, life, and death. Governments use statistics that affect people’s lives in ways large and small. The metrics for economic growth were developed when a lack of physical rather than natural capital was the binding constraint on growth, intangible value was less important, and the pressing economic policy challenge was managing demand rather than supply. Today’s challenges are different. Growth in living standards in rich economies has slowed, despite remarkable innovation, particularly in digital technologies. As a result, politics is contentious and democracy strained. Coyle argues that to understand the current economy, we need different data collected in a different framework of categories and definitions, and she offers some suggestions about what this would entail. Only with a new approach to measurement will we be able to achieve the right kind of growth for the benefit of all.

Advanced and Multivariate Statistical Methods

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