vikram dayal (29 Ergebnisse)

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

XIII, 261 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Zustand: New. In.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9789811520372.

Zustand: New. In.

Paperback. Zustand: Brand New. 2014 edition. 84 pages. 9.00x6.25x0.25 inches. In Stock.

Zustand: New. In.

Zustand: New. pp. XV, 326 300 illus., 89 illus. in color.

Paperback. Zustand: Brand New. 2015 edition. 109 pages. 7.00x5.00x0.25 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This brief views the environment through diverse lenses - those of standard economics, institutional economics, political science, environmental science and ecology. Chapter 2 discusses diverse theoretical and statistical models - constrained optimization models, game theory, differential equations, and statistical models for causal inference - in a simple manner. Developing countries have certain distinct environmental problems - traditional pollution and traditional dependence on the commons. While chapters 3 and 4 discuss these specific problems, statistical graphs of the World Development Indicators explore the macro-context of developing countries in chapter 1. Chapter 5 examines ecological systems, which are nonlinear and unpredictable, and subject to sudden regime shifts. Chapter 6 deals with the global challenges of climate change and biological invasions. The last chapter discusses sustainable development and institutions. The brief explains these topics simply; mathematics islargely confined to an appendix. The broad treatment and simple exposition will appeal to students new to the field of economics. The extension of core economic models in diverse directions will also be of interest to economists looking for a different treatment of the subject.

Taschenbuch. Zustand: Neu. The Environment in Economics and Development | Pluralist Extensions of Core Economic Models | Vikram Dayal | Taschenbuch | SpringerBriefs in Economics | xi | Englisch | 2013 | Springer | EAN 9788132216704 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: New. In English.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This brief views the environment through diverse lenses ¿ those of standard economics, institutional economics, political science, environmental science and ecology. Chapter 2 discusses diverse theoretical and statistical models ¿ constrained optimization models, game theory, differential equations, and statistical models for causal inference ¿ in a simple manner. Developing countries have certain distinct environmental problems ¿ traditional pollution and traditional dependence on the commons. While chapters 3 and 4 discuss these specific problems, statistical graphs of the World Development Indicators explore the macro-context of developing countries in chapter 1. Chapter 5 examines ecological systems, which are nonlinear and unpredictable, and subject to sudden regime shifts. Chapter 6 deals with the global challenges of climate change and biological invasions. The last chapter discusses sustainable development and institutions. The brief explains these topics simply; mathematics islargely confined to an appendix. The broad treatment and simple exposition will appeal to students new to the field of economics. The extension of core economic models in diverse directions will also be of interest to economists looking for a different treatment of the subject.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free,extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful.; This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful.

Hardcover. Zustand: Brand New. 309 pages. 9.25x6.10x0.83 inches. In Stock.

Taschenbuch. Zustand: Neu. Demystifying Causal Inference | Public Policy Applications with R | Vikram Dayal (u. a.) | Taschenbuch | xv | Englisch | 2024 | Springer | EAN 9789819939077 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Zustand: Brand New. 341 pages. 9.25x6.10x0.75 inches. In Stock.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an accessible introduction to causal inference and data analysis with R, specifically for a public policy audience. It aims to demystify these topics by presenting them through practical policy examples from a range of disciplines. It provides a hands-on approach to working with data in R using the popular tidyverse package. High quality R packages for specific causal inference techniques like ggdag, Matching, rdrobust, dosearch etc. are used in the book.The book is in two parts. The first part begins with a detailed narrative about John Snow's heroic investigations into the cause of cholera. The chapters that follow cover basic elements of R, regression, and an introduction to causality using the potential outcomes framework and causal graphs. The second part covers specific causal inference methods, including experiments, matching, panel data, difference-in-differences, regression discontinuity design, instrumental variables and meta-analysis, with the help of empirical case studies of policy issues.The book adopts a layered approach that makes it accessible and intuitive, using helpful concepts, applications, simulation, and data graphs. Many public policy questions are inherently causal, such as the effect of a policy on a particular outcome. Hence, the book would not only be of interest to students in public policy and executive education, but also to anyone interested in analysing data for application to public policy.

Taschenbuch. Zustand: Neu. Quantitative Economics with R | A Data Science Approach | Vikram Dayal | Taschenbuch | xv | Englisch | 2021 | Springer | EAN 9789811520372 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a contemporary treatment of quantitative economics, with a focus ondata science. The book introduces the readerto Rand RStudio, and uses expert Hadley Wickham's tidyverse packagefor different parts of the data analysis workflow. Aftera gentleintroductionto R code, the reader'sR skills are gradually honed, with the help of 'your turn' exercises.At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). Very early on, the readerwill beginusing the popular ggplot2 package for visualizing data, even making basic maps. The use of R in understanding functions, simulating difference equations, and carrying out matrix operationsisalsocovered.The book uses Monte Carlo simulation tounderstandprobability and statistical inference, and the bootstrap isintroduced. Causal inferenceis illuminated using simulation, data graphs,and R code for applications with real economic examples, covering experiments, matching, regression discontinuity, difference-in-difference, and instrumental variables. The interplay of growth related data and models ispresented, before the book introduces the reader to time series data analysis with graphs, simulation,andexamples.Lastly, twocomputationally intensivemethods-generalized additive models andrandom forests (an important and versatile machine learning method)-are introduced intuitively with applications.The book will beof great interest to economists-students, teachers,and researchersalike-who want to learn R.It will help economics students gainan intuitive appreciation of applied economicsand enjoy engagingwith the material actively, while also equipping them with key data science skills.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham¿s tidyverse package for different parts of the data analysis workflow. After a gentle introduction to R code, the reader¿s R skills are gradually honed, with the help of ¿your turn¿ exercises. At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). Very early on, the reader will begin using the popular ggplot2 package for visualizing data, even making basic maps. The use of R in understanding functions, simulating difference equations, and carrying out matrix operations is also covered. The book uses Monte Carlo simulation to understand probability and statistical inference, and the bootstrap is introduced. Causal inferenceis illuminated using simulation, data graphs, and R code for applications with real economic examples, covering experiments, matching, regression discontinuity, difference-in-difference, and instrumental variables. The interplay of growth related data and models is presented, before the book introduces the reader to time series data analysis with graphs, simulation, and examples. Lastly, two computationally intensive methods¿generalized additive models and random forests (an important and versatile machine learning method)¿are introduced intuitively with applications. The book will be of great interest to economists¿students, teachers, and researchers alike¿who want to learn R. It will help economics students gain an intuitive appreciation of applied economics and enjoy engaging with the material actively, while also equipping them with key data science skills.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an accessible introduction to causal inference and data analysis with R, specifically for a public policy audience. It aims to demystify these topics by presenting them through practical policy examples from a range of disciplines. It provides a hands-on approach to working with data in R using the popular tidyverse package. High quality R packages for specific causal inference techniques like ggdag, Matching, rdrobust, dosearch etc. are used in the book.The book is in two parts. The first part begins with a detailed narrative about John Snow's heroic investigations into the cause of cholera. The chapters that follow cover basic elements of R, regression, and an introduction to causality using the potential outcomes framework and causal graphs. The second part covers specific causal inference methods, including experiments, matching, panel data, difference-in-differences, regression discontinuity design, instrumental variables and meta-analysis, with the help of empirical case studies of policy issues.The book adopts a layered approach that makes it accessible and intuitive, using helpful concepts, applications, simulation, and data graphs. Many public policy questions are inherently causal, such as the effect of a policy on a particular outcome. Hence, the book would not only be of interest to students in public policy and executive education, but also to anyone interested in analysing data for application to public policy.

Hardcover. Zustand: Brand New. 276 pages. 9.25x6.10x0.98 inches. In Stock.

Hardcover. Zustand: Brand New. 344 pages. 9.25x6.10x0.87 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book deals with not just complex linkages, interactions and exchanges that form the relationship between the economic activities, human society and the ecosystems, but also the influences and impacts that each causes on the other. In recent times, this ecology-economy-society interface has received unprecedented attention within the broader environment-development discourse. The volume is in honour of Kanchan Chopra, one of the pioneers of research in these areas in India. She has recently been awarded the coveted Kenneth Boulding Award by the International Society for Ecological Economics (ISEE) and is the first Asian to receive it.The four sub-themes of the book reflect some of the important areas in the environment-development discourse - sustainability of development, institutions and environmental governance, environment and well-being, and ecosystem and conservation. Within each of the sub-themes, the policy and the practice as well as the macro and micro aspects are addressed. With contributions mainly from ecological economists and ecologists, the book's approach is interdisciplinary, both in spirit and content, reflecting the honoree's work, which went not just beyond the mainstream ideology of economics, but also the way she listened to ideas from disciplines like ecology and sociology. The volume also includes two reflective essays on academic life and works of Kanchan Chopra. The book is a valuable resource for students, teachers, researchers, practitioners and policy makers in the areas of development economics, ecological economics, environmental economics and related disciplines such as conservation, development, ecology, economics, environment, governance, health, sociology and public policy.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book deals with not just complex linkages, interactions and exchanges that form the relationship between the economic activities, human society and the ecosystems, but also the influences and impacts that each causes on the other. In recent times, this ecology-economy-society interface has received unprecedented attention within the broader environment-development discourse. The volume is in honour of Kanchan Chopra, one of the pioneers of research in these areas in India. She has recently been awarded the coveted Kenneth Boulding Award by the International Society for Ecological Economics (ISEE) and is the first Asian to receive it.The four sub-themes of the book reflect some of the important areas in the environment-development discourse - sustainability of development, institutions and environmental governance, environment and well-being, and ecosystem and conservation. Within each of the sub-themes, the policy and the practice as well as the macro and micro aspects are addressed. With contributions mainly from ecological economists and ecologists, the book's approach is interdisciplinary, both in spirit and content, reflecting the honoree's work, which went not just beyond the mainstream ideology of economics, but also the way she listened to ideas from disciplines like ecology and sociology. The volume also includes two reflective essays on academic life and works of Kanchan Chopra. The book is a valuable resource for students, teachers, researchers, practitioners and policy makers in the areas of development economics, ecological economics, environmental economics and related disciplines such as conservation, development, ecology, economics, environment, governance, health, sociology and public policy.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a contemporary treatment of quantitative economics, with a focus ondata science. The book introduces the readerto Rand RStudio, and uses expert Hadley Wickham's tidyverse packagefor different parts of the data analysis workflow. Aftera gentleintroductionto R code, the reader'sR skills are gradually honed, with the help of 'your turn' exercises.At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). Very early on, the readerwill beginusing the popular ggplot2 package for visualizing data, even making basic maps. The use of R in understanding functions, simulating difference equations, and carrying out matrix operationsisalsocovered.The book uses Monte Carlo simulation tounderstandprobability and statistical inference, and the bootstrap isintroduced. Causal inferenceis illuminated using simulation, data graphs,and R code for applications with real economic examples, covering experiments, matching, regression discontinuity, difference-in-difference, and instrumental variables. The interplay of growth related data and models ispresented, before the book introduces the reader to time series data analysis with graphs, simulation,andexamples.Lastly, twocomputationally intensivemethods-generalized additive models andrandom forests (an important and versatile machine learning method)-are introduced intuitively with applications.The book will beof great interest to economists-students, teachers,and researchersalike-who want to learn R.It will help economics students gainan intuitive appreciation of applied economicsand enjoy engagingwith the material actively, while also equipping them with key data science skills.