Econometrics and Data Science: Apply Data Science Techniques to Model Complex Problems and Implement Solutions for Economic Problems, Nokeri Tshepo Chris

Автор: Palmas Alessandro, Ghelfi Emanuele, Petre Alexandra Galina
Название: The Reinforcement Learning Workshop: Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems
ISBN: 1800200455 ISBN-13(EAN): 9781800200456
Издательство: Неизвестно
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Цена: 50670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With the help of practical examples and engaging activities, The Reinforcement Learning Workshop takes you through reinforcement learning`s core techniques and frameworks. Following a hands-on approach, it allows you to learn reinforcement learning at your own pace to develop your own intelligent applications with ease.

Автор: Second Bwanakare
Название: Non-Extensive Entropy Econometrics for Low Frequency Series: National Accounts-Based Inverse Problems
ISBN: 3110550431 ISBN-13(EAN): 9783110550436
Издательство: Walter de Gruyter
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Цена: 99110.00 T
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Описание: Non-extensive Entropy Econometrics for Low Frequency Series provides a new and robust power-law-based, non-extensive entropy econometrics approach to the economic modelling of ill-behaved inverse problems.

Автор: Kim P. Huynh, David T. Jacho-Chavez, Gautam Tripathi
Название: The Econometrics of Complex Survey Data: Theory and Applications
ISBN: 1787567265 ISBN-13(EAN): 9781787567269
Издательство: Emerald
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Цена: 117890.00 T
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Описание: This volume of Advances in Econometrics contains a selection of papers presented at the `Econometrics of Complex Survey Data: Theory and Applications` conference organized by the Bank of Canada, Ottawa, Canada, from October 19-20, 2017.

Автор: Giuseppe Arbia
Название: Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems
ISBN: 9401075786 ISBN-13(EAN): 9789401075787
Издательство: Springer
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Цена: 176970.00 T
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Описание: Figure 1. 4: First order neighbours (a) and second order neighbours (b) of a reference area. a shows the first-order neighbours of a reference area, while Figure 1. While it is clear that the dependence is strongest between immediate neighbouring areas a certain degree of dependence may be present among higher-order neighbours.

Автор: Giuseppe Arbia
Название: Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems
ISBN: 0792302842 ISBN-13(EAN): 9780792302841
Издательство: Springer
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Цена: 176970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Figure 1. 4: First order neighbours (a) and second order neighbours (b) of a reference area. a shows the first-order neighbours of a reference area, while Figure 1. While it is clear that the dependence is strongest between immediate neighbouring areas a certain degree of dependence may be present among higher-order neighbours.

Автор: Pierre Duchesne; Bruno R?millard
Название: Statistical Modeling and Analysis for Complex Data Problems
ISBN: 144193751X ISBN-13(EAN): 9781441937513
Издательство: Springer
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Цена: 111790.00 T
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Описание:

Statistical Modeling and Analysis for Complex Data Problems treats some of today's more complex problems and it reflects some of the important research directions in the field. Twenty-nine authors - largely from Montreal's GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes - present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.

Автор: Grover Jeff
Название: The Manual of Strategic Economic Decision Making: Using Bayesian Belief Networks to Solve Complex Problems
ISBN: 3319839373 ISBN-13(EAN): 9783319839370
Издательство: Springer
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Цена: 69870.00 T
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Описание: This book is an extension of the author`s first book and serves as a guide and manual on how to specify and compute 2-, 3-, and 4-Event Bayesian Belief Networks (BBN).

Автор: Terzioğlu M. Kenan
Название: Advances in Econometrics, Operational Research, Data Science and Actuarial Studies: Techniques and Theories
ISBN: 3030852539 ISBN-13(EAN): 9783030852535
Издательство: Springer
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Цена: 158380.00 T
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Описание: This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields. The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes. This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.

Автор: Cameron
Название: Regression Analysis of Count Data
ISBN: 1107667275 ISBN-13(EAN): 9781107667273
Издательство: Cambridge Academ
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Цена: 53850.00 T
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Описание: Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. The second edition provides the most comprehensive and up-to-date account of models and methods to interpret such data.

Автор: Cameron
Название: Regression Analysis of Count Data
ISBN: 1107014166 ISBN-13(EAN): 9781107014169
Издательство: Cambridge Academ
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Цена: 154170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. The second edition provides the most comprehensive and up-to-date account of models and methods to interpret such data.

Автор: Hsiao, Cheng,
Название: Analysis of Panel Data
ISBN: 1107657636 ISBN-13(EAN): 9781107657632
Издательство: Cambridge Academ
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Цена: 39060.00 T
Наличие на складе: Нет в наличии.
Описание: This book provides a comprehensive, coherent, and intuitive review of panel data methodologies that are useful for empirical analysis. Substantially revised from the second edition, it includes two new chapters on modeling cross-sectionally dependent data and dynamic systems of equations. Some of the more complicated concepts have been further streamlined. Other new material includes correlated random coefficient models, pseudo-panels, duration and count data models, quantile analysis, and alternative approaches for controlling the impact of unobserved heterogeneity in nonlinear panel data models.

Автор: Hilbe
Название: Modeling Count Data
ISBN: 1107611253 ISBN-13(EAN): 9781107611252
Издательство: Cambridge Academ
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Цена: 42240.00 T
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Описание: Written for researchers with little or no background in advanced statistics, this book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Stata, R, and SAS code enable readers in a variety of disciplines to adapt models for their own purposes.