Bootstrapping: An Integrated Approach with Python and Stata, Felix Bittmann
Автор: A. Colin Cameron, Pravin K. Trivedi Название: Microeconometrics Using Stata, Second Edition, Volumes I and II ISBN: 1597183598 ISBN-13(EAN): 9781597183598 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Microeconometrics Using Stata, Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods.
Автор: Baum, Christopher F, Название: Environmental econometrics using Stata / ISBN: 1597183555 ISBN-13(EAN): 9781597183550 Издательство: Taylor&Francis Рейтинг: Цена: 61240.00 T Наличие на складе: Невозможна поставка. Описание: Aspects of environmental change are some of the greatest challenges faced by policymakers today. The key issues addressed by environmental science are often empirical, and in many instances very detailed, sizable datasets are available. Researchers in this field should have a solid understanding of the econometric tools best suited for analysis of these data.
While complex and expensive physical models of the environment exist, it is becoming increasingly clear that reduced-form econometric models have an important role to play in modeling environmental phenomena. In short, successful environmental modeling does not necessarily require a structural model, but the econometric methods underlying a reduced-form approach must be competently executed. Environmental Econometrics Using Stata provides an important starting point for this journey by presenting a broad range of applied econometric techniques for environmental econometrics and illustrating how they can be applied in Stata.
The emphasis is not only on how to formulate and fit models in Stata but also on the need to use a wide range of diagnostic tests in order to validate the results of estimation and subsequent policy conclusions. This focus on careful, reproducible research should be appreciated by academic and non-academic researchers who are seeking to produce credible, defensible conclusions about key issues in environmental science.
Автор: Felix Bittmann Название: Bootstrapping: An Integrated Approach with Python and Stata ISBN: 3110694409 ISBN-13(EAN): 9783110694406 Издательство: Walter de Gruyter Рейтинг: Цена: 32170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Bootstrapping is a quite simple statistical technique that can be applied to almost all quantitative methods. The idea is more than 40 years old and well known to statisticians, however relatively unknown to practitioners of the social sciences. The book provides an introduction to the logic and applications of bootstrapping and also includes applied programming examples in Python and Stata so the readers can directly see the technique in action.
Despite increasing interest in how involvement in local government can improve governance and lead to civic renewal, questions remain about participation's real impact. This book investigates participatory budgeting—a mainstay now of World Bank, UNDP, and USAID development programs—to ask whether its reforms truly make a difference in deepening democracy and empowering civil society. Looking closely at eight cities in Brazil, comparing those that carried out participatory budgeting reforms between 1997 and 2000 with those that did not, the authors examine whether and how institutional reforms take effect.
Bootstrapping Democracy highlights the importance of local-level innovations and democratic advances, charting a middle path between those who theorize that globalization hollows out democracy and those who celebrate globalization as a means of fostering democratic values. Uncovering the state's role in creating an "associational environment," it reveals the contradictory ways institutional reforms shape the democratic capabilities of civil society and how outcomes are conditioned by relations between the state and civil society.
Автор: Morgan, James L. Название: Signal to Syntax ISBN: 0805812660 ISBN-13(EAN): 9780805812664 Издательство: Taylor&Francis Рейтинг: Цена: 76550.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Dorard Louis Название: Bootstrapping Machine Learning: The First Guide to Prediction APIs ISBN: 1500789240 ISBN-13(EAN): 9781500789244 Издательство: Неизвестно Цена: 56330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In an age of overflowing data, Machine Learning and Data Science seem to be all the rage. By analyzing data, computers are able to "learn" and generalize from examples of things happening in the real world. They can make predictions and answer questions such as "How much should I price this product?" and "Which type of document is this?". Prediction APIs are making Machine Learning accessible to everyone and this book is the first that teaches how to use them. You will learn the possibilities offered by these APIs, how to formulate your own Machine Learning problem, and what are the key concepts to grasp - not how algorithms work, so it doesn't take a university degree to understand. Learn more at http: //www.louisdorard.com/machine-learning-book
Автор: Kenichi Shimizu Название: Bootstrapping Stationary ARMA-GARCH Models ISBN: 3834809926 ISBN-13(EAN): 9783834809926 Издательство: Springer Рейтинг: Цена: 71730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Im Jahre 1979 hat Bradley Efron mit seiner Arbeit Bootstrap Methods: Another Look at the Jackknife das Tor zu einem in den vergangenen 30 Jahren intensiv bearbeiteten Forschungsgebiet aufgestoen. Die simulationsbasierte Methode des Bootstraps hat sich in den verschiedensten Bereichen als ein auerordentlich - ?zientes Werkzeug zur Approximation der stochastischen Fluktuation eines Sch- zers um die zu schatzende Groe erwiesen. Prazise Kenntnis dieser stochastischen Fluktuation ist zum Beispiel notwendig, um Kon?denzbereiche fur Schatzer an- geben, die die unbekannte interessierende Groe mit einer vorgegebenen Wa- scheinlichkeit von, sagen wir, 95 oder 99% enthalten. In vielen Fallen und bei korrekter Anwendung ist das Bootstrapverfahren dabei der konkurrierenden und auf der Approximation durch eine Normalverteilung basierenden Methode ub- legen. Die Anzahl der Publikationen im Bereich des Bootstraps ist seit 1979 in einem atemberaubenden Tempo angestiegen. Die wesentliche und im Grunde e- fache Idee des Bootstraps ist die Erzeugung vieler (Pseudo-) Datensatze, die von ihrer wesentlichen stochastischen Struktur dem Ausgangsdatensatz moglichst a- lich sind. Die aktuellen Forschungsinteressen im Umfeld des Bootstraps bewegen sich zu einem groen Teil im Bereich der stochastischen Prozesse. Hier stellt sich die zusatzliche Herausforderung, bei der Erzeugung die Abhangigkeitsstruktur der Ausgangsdaten adaquat zu imitieren. Dabei ist eine prazise Analyse der zugrunde liegenden Situation notwendig, um beurteilen zu konnen, welche Abhangigkei- aspekte fur das Verhalten der Schatzer wesentlich sind und welche nicht, um a- reichend komplexe, aber eben auch moglichst einfache Resamplingvorschlage fur die Erzeugung der Bootstrapdaten entwickeln zu konnen.
Автор: Dagmar Bittner, Nadja Ruhlig Название: Lexical Bootstrapping: The Role of Lexis and Semantics in Child Language Development ISBN: 3110308649 ISBN-13(EAN): 9783110308648 Издательство: Walter de Gruyter Рейтинг: Цена: 123910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The internal bootstrapps for establishing the grammatical system of a human language build an essential topic in language acquisition research. The discussion of the last 20 years came up with the Lexical Bootstrapping Hypothesis which assigns lexical development the role of the central bootstrapping process. The volume presents work from different theoretical perspectives evaluating the strength and weaknesses of this hypothesis.
Автор: Shelters David Michael Название: Bootstrapping Strategies: For Tech Startups ISBN: 1516943120 ISBN-13(EAN): 9781516943128 Издательство: Неизвестно Цена: 17230.00 T Наличие на складе: Нет в наличии.
Автор: Morgan, James L. Название: Signal to Syntax ISBN: 0805812652 ISBN-13(EAN): 9780805812657 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
