Economic Systems Analysis: Statistical Indicators, Sibirskaya

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 69870.00 T
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Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: Capra
Название: The Systems View of Life
ISBN: 1316616436 ISBN-13(EAN): 9781316616437
Издательство: Cambridge Academ
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Цена: 27450.00 T
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Описание: Taking a broad sweep through history and across scientific disciplines, this volume integrates the ideas, models, and theories underlying the systems view of life into a single coherent framework. Life`s biological, cognitive, social, and ecological dimensions are presented and its philosophical, spiritual, and political implications discussed.

Автор: United Nations Development Programme
Название: Human development indices and indicators: 2018 statistical update
ISBN: 9211264375 ISBN-13(EAN): 9789211264371
Издательство: Mare Nostrum (Eurospan)
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Цена: 30490.00 T
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Описание: Provides a brief overview of the state of human development - snapshots of current conditions as well as long-term trends in human development indicators. The report includes a full statistical annex of human development composite indices and indicators across their various dimensions. This update includes the 2017 values.

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: M. Hatanaka; H. Yamada
Название: Co-trending: A Statistical System Analysis of Economic Trends
ISBN: 4431659145 ISBN-13(EAN): 9784431659143
Издательство: Springer
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Цена: 74530.00 T
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Описание: In macro-econometrics more attention needs to be paid to the relationships among deterministic trends of different variables, or co-trending, especially when economic growth is of concern.

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
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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: Peter Hackl
Название: Statistical Analysis and Forecasting of Economic Structural Change
ISBN: 3662025736 ISBN-13(EAN): 9783662025734
Издательство: Springer
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Цена: 46570.00 T
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Описание: In 1984, the University of Bonn (FRG) and the International Institute for Applied System Analysis (IIASA) in Laxenburg (Austria), created a joint research group to analyze the relationship between economic growth and structural change.

Автор: Sarmento Rui, Costa Vera
Название: Comparative Approaches to Using R and Python for Statistical Data Analysis
ISBN: 168318016X ISBN-13(EAN): 9781683180166
Издательство: Mare Nostrum (Eurospan)
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Цена: 174630.00 T
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Описание: The application of statistics has proliferated in recent years and has become increasingly relevant across numerous fields of study. With the advent of new technologies, its availability has opened into a wider range of users.Comparative Approaches to using R and Python for Statistical Data Analysis is a comprehensive source of emerging research and perspectives on the latest computer software and available languages for the visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression, this publication is ideally designed for professionals, researchers, academics, graduate students, and practitioners interested in the optimization of statistical data analysis.

Автор: Wainwright Martin J
Название: Cambridge Series in Statistical and Probabilistic Mathematic
ISBN: 1108498027 ISBN-13(EAN): 9781108498029
Издательство: Cambridge Academ
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Цена: 71810.00 T
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Описание: Recent years have seen an explosion in the volume and variety of data collected in scientific disciplines from astronomy to genetics and industrial settings ranging from Amazon to Uber. This graduate text equips readers in statistics, machine learning, and related fields to understand, apply, and adapt modern methods suited to large-scale data.

Автор: Bouveyron, Charles Celeux, Gilles Murphy, T. Brendan (university College Dublin) Raftery, Adrian E. (university Of Washington)
Название: Cambridge series in statistical and probabilistic mathematics
ISBN: 110849420X ISBN-13(EAN): 9781108494205
Издательство: Cambridge Academ
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Цена: 77090.00 T
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Описание: This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and prediction methods, using extensive data examples and providing R code for many methods.

Автор: H. Akaike; T. Nakagawa
Название: Statistical Analysis and Control of Dynamic Systems
ISBN: 9027727864 ISBN-13(EAN): 9789027727862
Издательство: Springer
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Цена: 88500.00 T
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Автор: Nualart, David (university Of Kansas) Nualart, Eul...lia (universitat Pompeu Fabra, Barcelona)
Название: Institute of mathematical statistics textbooks
ISBN: 1107611989 ISBN-13(EAN): 9781107611986
Издательство: Cambridge Academ
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Цена: 40130.00 T
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Описание: This textbook offers a compact introduction to Malliavin calculus. It covers recent applications, and includes a self-contained presentation of preliminary material on Brownian motion and stochastic calculus. Accessible to non-experts, graduate students and researchers can use this book to master the core techniques necessary for further study.