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Category :
Languages : es
Pages :
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Book Description
RESUMEN Las actitudes, el conocimiento y las acciones generalmente se basan en muestras. Algunos basan sus conclusiones en muestras pequeñas y pocas veces toman en cuenta la magnitud de lo que se desconoce. Generalmente se carece de recursos para estudiar más de una parte del problema de interés que pudiera aumentar nuestro conocimiento. Algunas razones para el uso de las técnicas de muestreo son: costo reducido, mayor velocidad, mayor enfoque o perspectiva y mayor exactitud. La fusión de datos surge como una alternativa a la fuente única de datos frente a la necesidad de conseguir el máximo de información posible al menor costo. Tiene como objetivo combinar datos de diferentes fuentes para poder disponer de toda la información en un solo archivo, aunque artificial, con todas las variables de interés. Utiliza lo mejor de la información existente en un archivo para reconstruir la información ausente en otro archivo. Es una estimación estadística de los datos faltantes. Es un medio de limitar la recolección de datos, reconstruyendo la información faltante. No es un problema de análisis estadístico con datos faltantes en el cual se consideran los mecanismos que conducen a la ausencia de datos. En el caso de la fusión de datos, se presentan bloques completos de datos ausentes, en general, muestras independientes. La revisión bibliográfica ha permitido analizar el problema del análisis de datos faltantes como una aproximación al tema de la fusión de datos, considerando que la fusión de datos es un caso particular. En este caso, se está hablando de bloques de datos faltantes y en muchas ocasiones, datos faltantes por diseño. El objetivo de la fusión de datos es por lo tanto, el obtener un solo archivo que pueda ser analizado posteriormente con herramientas de minería de datos. La idea es estimar los valores de las variables no informadas (valores faltantes) a partir de un bloque de variables informadas correlacionadas con el bloque de variables a reconstituir (variables c.
Author:
Publisher:
ISBN:
Category :
Languages : es
Pages :
Get Book Here
Book Description
RESUMEN Las actitudes, el conocimiento y las acciones generalmente se basan en muestras. Algunos basan sus conclusiones en muestras pequeñas y pocas veces toman en cuenta la magnitud de lo que se desconoce. Generalmente se carece de recursos para estudiar más de una parte del problema de interés que pudiera aumentar nuestro conocimiento. Algunas razones para el uso de las técnicas de muestreo son: costo reducido, mayor velocidad, mayor enfoque o perspectiva y mayor exactitud. La fusión de datos surge como una alternativa a la fuente única de datos frente a la necesidad de conseguir el máximo de información posible al menor costo. Tiene como objetivo combinar datos de diferentes fuentes para poder disponer de toda la información en un solo archivo, aunque artificial, con todas las variables de interés. Utiliza lo mejor de la información existente en un archivo para reconstruir la información ausente en otro archivo. Es una estimación estadística de los datos faltantes. Es un medio de limitar la recolección de datos, reconstruyendo la información faltante. No es un problema de análisis estadístico con datos faltantes en el cual se consideran los mecanismos que conducen a la ausencia de datos. En el caso de la fusión de datos, se presentan bloques completos de datos ausentes, en general, muestras independientes. La revisión bibliográfica ha permitido analizar el problema del análisis de datos faltantes como una aproximación al tema de la fusión de datos, considerando que la fusión de datos es un caso particular. En este caso, se está hablando de bloques de datos faltantes y en muchas ocasiones, datos faltantes por diseño. El objetivo de la fusión de datos es por lo tanto, el obtener un solo archivo que pueda ser analizado posteriormente con herramientas de minería de datos. La idea es estimar los valores de las variables no informadas (valores faltantes) a partir de un bloque de variables informadas correlacionadas con el bloque de variables a reconstituir (variables c.
Author: Zura Kakushadze
Publisher: Springer
ISBN: 3030027929
Category : Business & Economics
Languages : en
Pages : 480
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Book Description
The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.
Author: Marcello D'Orazio
Publisher: John Wiley & Sons
ISBN: 0470023546
Category : Mathematics
Languages : en
Pages : 268
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Book Description
There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is the art of combining information from different sources (particularly sample surveys) that contain no common unit. In response to modern influxes of data, it is an area of rapidly growing interest and complexity. Statistical Matching: Theory and Practice introduces the basics of statistical matching, before going on to offer a detailed, up-to-date overview of the methods used and an examination of their practical applications. Presents a unified framework for both theoretical and practical aspects of statistical matching. Provides a detailed description covering all the steps needed to perform statistical matching. Contains a critical overview of the available statistical matching methods. Discusses all the major issues in detail, such as the Conditional Independence Assumption and the assessment of uncertainty. Includes numerous examples and applications, enabling the reader to apply the methods in their own work. Features an appendix detailing algorithms written in the R language. Statistical Matching: Theory and Practice presents a comprehensive exploration of an increasingly important area. Ideal for researchers in national statistics institutes and applied statisticians, it will also prove to be an invaluable text for scientists and researchers from all disciplines engaged in the multivariate analysis of data collected from different sources.
Author: Eric Dinerstein
Publisher: World Bank Publications
ISBN:
Category : Nature
Languages : en
Pages : 172
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Book Description
Approach; Major ecosystem types, major habitat types, and ecoregions of LAC; Conservation status of terretrial ecoregions of LAC; Biological distinctiveness of territorial ecoregions of LAC at different biogeographic scales results; Integrating biological distinctiveness and conservation status; Conservation assessment of mangrove ecosystems.
Author: Susanne Rässler
Publisher: Springer Science & Business Media
ISBN: 1461300533
Category : Mathematics
Languages : en
Pages : 260
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Book Description
Government policy questions and media planning tasks may be answered by this data set. It covers a wide range of different aspects of statistical matching that in Europe typically is called data fusion. A book about statistical matching will be of interest to researchers and practitioners, starting with data collection and the production of public use micro files, data banks, and data bases. People in the areas of database marketing, public health analysis, socioeconomic modeling, and official statistics will find it useful.
Author: Janusz M. Bujnicki
Publisher: Springer
ISBN: 3540742689
Category : Science
Languages : en
Pages : 275
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Book Description
This book presents applications of bioinformatics tools that experimental research scientists use in "daily practice." Its interdisciplinary approach combines computational and experimental methods to solve scientific problems. The book begins with reviews of computational methods for protein sequence-structure-function analysis, followed by methods that use experimental data obtained in the laboratory to improve functional predictions.
Author: D.R. Cox
Publisher: CRC Press
ISBN: 9780412754104
Category : Mathematics
Languages : en
Pages : 280
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Book Description
Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields including the social and medical sciences. This book sets out both the general concepts and the more technical statistical issues involved in analysis and interpretation. Numerous illustrative examples are described in outline and four studies are discussed in some detail. The use of graphical representations of dependencies and independencies among the features under study is stressed, both to incorporate available knowledge at the planning stage of an analysis and to summarize aspects important for interpretation after detailed statistical analysis is complete. This book is aimed at research workers using statistical methods as well as statisticians involved in empirical research.
Author: Steven M. Kaplan
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 640
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Book Description
In today's "global village", nearly 450 million people speak English while another 350 million speak Spanish. The United States alone, with its more than 22 million Hispanic Americans, is now considered by many to be a bilingual society. As the practice of law and the resolution of legal issues, to a great extent, is all about precise communication, the impact of this on legal and business professionals is obvious - Spanish/English, English/Spanish translations are fast becoming an indispensable component of any thriving law practice or business, be it a small company or a multinational corporation. Translations are now routinely required for trials, contracts, real estate and financial transactions, and in many other situations. Clearly then, the need for a comprehensive bilingual reference such as this one has never been greater. Wiley's English/Spanish and Spanish/English Legal Dictionary offers comprehensive, up-to-date coverage of more than 40,000 essential words and phrases spanning all legal disciplines and subdisciplines including construction, real estate, insurance, business, trial, environmental law, intellectual property, family law, and more. It was written by a professional translator in collaboration with an advisory committee comprising attorneys from some of the most prominent firms in the international legal community. Featuring an extremely user-friendly format, the Dictionary was designed for quick reference. It directs you instantly to the precise equivalent you need without first "rerouting" you through a maze of other irrelevant terms and phrases. Gender neutral equivalents are provided, and in cases where the nongender neutral term is the norm, both are given.Wiley's English/Spanish and Spanish/English Legal Dictionary puts all important English and Spanish legal terms at the fingertips of attorneys, businesspeople, paralegals, and law students. It belongs on the shelves of law firms, libraries, businesses, and international agencies. It is also an essential communications tool for translators, interpreters, and civil servants.
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309175267
Category : Medical
Languages : en
Pages : 134
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Book Description
Xenotransplantation involves the transplantation of cells, tissues, and whole organs from one species to another. Interest in animal-to-human xenotransplants has been spurred by the continuing shortage of donated human organs and by advances in knowledge concerning the biology of organ and tissue rejection. The scientific advances and promise, however, raise complex questions that must be addressed. This book considers the scientific and medical feasibility of xenotransplantation and explores the ethical and public policy issues surrounding the possibility of renewed clinical trials. The volume focuses on the science base of xenotransplantation, public health risks of infectious disease transmission, and ethical and public policy issues, including the views of patients and their families.
Author: Ibrokhim Y. Abdurakhmonov
Publisher: BoD – Books on Demand
ISBN: 9535124552
Category : Science
Languages : en
Pages : 312
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Book Description
Plant genomics aims to sequence, characterize, and study the genetic compositions, structures, organizations, functions, and interactions/networks of an entire plant genome. Its development and advances are tightly interconnected with proteomics, metabolomics, metagenomics, transgenomics, genomic selection, bioinformatics, epigenomics, phenomics, system biology, modern instrumentation, and robotics sciences. Plant genomics has significantly advanced over the past three decades in the land of inexpensive, high-throughput sequencing technologies and fully sequenced over 100 plant genomes. These advances have broad implications in every aspect of plant biology and breeding, powered with novel genomic selection and manipulation tools while generating many grand challenges and tasks ahead. This Plant genomics provides some updated discussions on current advances, challenges, and future perspectives of plant genome studies and applications.
