Hardback ISBN: 9781009396295
Hardback publication date: 19 December 2024
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Time Series for Economics and Finance
, University of Cambridge
Online ISBN: 9781009396271
Online publication date:
19 December 2024
Paperback ISBN: 9781009396264
Paperback publication date: 19 December 2024
Focusing on methods for data that are ordered in time, this textbook provides a comprehensive guide to analyzing time series data using modern techniques from data science. It is specifically tailored to economics and finance applications, aiming to provide students with rigorous training. Chapters cover Bayesian approaches, nonparametric smoothing methods, machine learning, and continuous time econometrics. Theoretical and empirical exercises, concise summaries, bolded key terms, and illustrative examples are included throughout to reinforce key concepts and bolster understanding. Ancillary materials include an instructor's manual with solutions and additional exercises, PowerPoint lecture slides, and datasets. With its clear and accessible style, this textbook is an essential tool for advanced undergraduate and graduate students in economics, finance, and statistics.
Focusing on methods for data that are ordered in time, this textbook provides a comprehensive guide to analyzing time series data using modern techniques from data science. It is specifically tailored to economics and finance applications, aiming to provide students with rigorous training. Chapters cover Bayesian approaches, nonparametric smoothing methods, machine learning, and continuous time econometrics. Theoretical and empirical exercises, concise summaries, bolded key terms, and illustrative examples are included throughout to reinforce key concepts and bolster understanding. Ancillary materials include an instructor's manual with solutions and additional exercises, PowerPoint lecture slides, and datasets. With its clear and accessible style, this textbook is an essential tool for advanced undergraduate and graduate students in economics, finance, and statistics.
Essential Epidemiology
An Introduction for Students and Health Professionals
5th edition
, QIMR Berghofer Medical Research Institute, , , Western Sydney University
Online ISBN: 9781009415323
Online publication date:
27 September 2024
Print/online bundle ISBN: 9781009415361
Print/online bundle publication date: 25 November 2024
- Textbook
Epidemiology is fundamental to public health, providing the tools required to detect and quantify health problems and identify and evaluate solutions. Essential Epidemiology is a clear, engaging and methodological introduction to the subject. Now in its fifth edition, the text has been thoroughly updated. Its trademark clear and consistent pedagogical structure makes challenging topics accessible, while the local and international examples, including from the COVID-19 pandemic, encourage students to apply theory to real-world cases. Statistical analysis is explained simply, with more challenging concepts presented in optional advanced boxes. Each chapter includes information boxes, margin notes highlighting supplementary facts and question prompts to enhance learners' understanding. The end-of-chapter questions and accompanying guided solutions promote the consolidation of knowledge. Written by leading Australian academics and researchers, Essential Epidemiology remains a fundamental resource and reference text for students and public health practitioners alike.
Epidemiology is fundamental to public health, providing the tools required to detect and quantify health problems and identify and evaluate solutions. Essential Epidemiology is a clear, engaging and methodological introduction to the subject. Now in its fifth edition, the text has been thoroughly updated. Its trademark clear and consistent pedagogical structure makes challenging topics accessible, while the local and international examples, including from the COVID-19 pandemic, encourage students to apply theory to real-world cases. Statistical analysis is explained simply, with more challenging concepts presented in optional advanced boxes. Each chapter includes information boxes, margin notes highlighting supplementary facts and question prompts to enhance learners' understanding. The end-of-chapter questions and accompanying guided solutions promote the consolidation of knowledge. Written by leading Australian academics and researchers, Essential Epidemiology remains a fundamental resource and reference text for students and public health practitioners alike.
Digital Innovation Strategy
, Cornell University, New York
Online ISBN: 9781009209038
Online publication date:
21 December 2023
Hardback ISBN: 9781009208987
Hardback publication date: 21 December 2023
Paperback ISBN: 9781009209007
Paperback publication date: 21 December 2023
- Textbook
Based on applied economics and from the perspective of an innovator seeking to develop a new digital business, this textbook is aimed at MBA and advanced undergraduate audiences interested in innovation strategy and competition in digital industries. Step-by-step, the book guides innovators through a dynamic market analysis and business model design, leading to an assessment of the future evolution of the market and the broader innovation ecosystem, and what the innovator can do to position the innovation for continued success. Each chapter defines and provides references for key concepts that can be further explored through suggested readings and study questions. Real-world case studies further facilitate forming a comprehensive view on how to resolve strategic challenges of digital innovation. The topics covered in this text are essential for a broad range of managers, consultants, entrepreneurs, technologists, and analysts to understand in depth.
Based on applied economics and from the perspective of an innovator seeking to develop a new digital business, this textbook is aimed at MBA and advanced undergraduate audiences interested in innovation strategy and competition in digital industries. Step-by-step, the book guides innovators through a dynamic market analysis and business model design, leading to an assessment of the future evolution of the market and the broader innovation ecosystem, and what the innovator can do to position the innovation for continued success. Each chapter defines and provides references for key concepts that can be further explored through suggested readings and study questions. Real-world case studies further facilitate forming a comprehensive view on how to resolve strategic challenges of digital innovation. The topics covered in this text are essential for a broad range of managers, consultants, entrepreneurs, technologists, and analysts to understand in depth.
Teaching Secondary Geography
, University of South Australia, , Macquarie University, Sydney, , Monash University, Victoria, , Flinders University of South Australia, , , ,
Online ISBN: 9781108980906
Online publication date:
12 November 2021
Paperback ISBN: 9781108984638
Expected Paperback publication date: 03 March 2022
- Textbook
Geography is not only the study of the surface of the planet and the exploration of spatial and human - environment relationships, but also a way of thinking about the world. Guided by the Australian Curriculum and the Professional Standards for Teaching School Geography (GEOGstandards), Teaching Secondary Geography provides a comprehensive introduction to both the theory and practice of teaching Geography. This text covers fundamental geographical knowledge and skills, such as working with data, graphicacy, fieldwork and spatial technology, and provides practical guidance on teaching them in the classroom. Each chapter features short-answer and 'Pause and Think' questions to enhance understanding of key concepts, and 'Bringing It Together' review questions to consolidate learning. Classroom scenarios and a range of information boxes are provided throughout to connect students to additional material. Written by an author team with extensive teaching experience, Teaching Secondary Geography is an exemplary resource for pre-service teachers.
Geography is not only the study of the surface of the planet and the exploration of spatial and human - environment relationships, but also a way of thinking about the world. Guided by the Australian Curriculum and the Professional Standards for Teaching School Geography (GEOGstandards), Teaching Secondary Geography provides a comprehensive introduction to both the theory and practice of teaching Geography. This text covers fundamental geographical knowledge and skills, such as working with data, graphicacy, fieldwork and spatial technology, and provides practical guidance on teaching them in the classroom. Each chapter features short-answer and 'Pause and Think' questions to enhance understanding of key concepts, and 'Bringing It Together' review questions to consolidate learning. Classroom scenarios and a range of information boxes are provided throughout to connect students to additional material. Written by an author team with extensive teaching experience, Teaching Secondary Geography is an exemplary resource for pre-service teachers.
Regression and Other Stories
, Columbia University, New York, , New York University, , Aalto University, Finland
Online ISBN: 9781139161879
Online publication date:
01 December 2020
Hardback ISBN: 9781107023987
Hardback publication date: 03 September 2020
Paperback ISBN: 9781107676510
Paperback publication date: 03 September 2020
Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.
Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.
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