Practical time series analysis for data science, Woodward, Wayne A. (southern Methodist University, Dallas, Texas, Usa) Sadler, Bivin Philip (technical Assistant Professor, Southern Methodist Univers
Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, providing readers with an overview of data science and a framework for its application. It provides detailed examples and analysis on real data sets to explore the basics of the subject in three principle areas: clustering and social network analysis; predictions and forecasts; and text analysis and mining.
As well as highlighting a wealth of user-friendly data science tools, the book also includes some example code in two of the most popular programming languages (R and Python) to demonstrate the ease with which the information professional can move beyond the graphical user interface and achieve significant analysis with just a few lines of code.
After reading, readers will understand:
· the growing importance of data science
· the role of the information professional in data science
· some of the most important tools and methods that information professionals can use.
Bringing together the growing importance of data science and the increasing role of information professionals in the management and use of data, Practical Data Science for Information Professionals will provide a practical introduction to the topic specifically designed for the information community. It will appeal to librarians and information professionals all around the world, from large academic libraries to small research libraries. By focusing on the application of open source software, it aims to reduce barriers for readers to use the lessons learned within.
Автор: Agung Название: Time Series Data Analysis Using Eviews ISBN: 0470823674 ISBN-13(EAN): 9780470823675 Издательство: Wiley Рейтинг: Цена: 104490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is a practical guide to selecting and applying the most appropriate time series model and analysis of data sets using EViews.
Автор: Agung Название: Advanced Time Series Data Analysis: Forecasting Using Eviews ISBN: 1119504716 ISBN-13(EAN): 9781119504719 Издательство: Wiley Рейтинг: Цена: 90760.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Introduces the latest developments in forecasting in advanced quantitative data analysis
This book presents advanced univariate multiple regressions, which can directly be used to forecast their dependent variables, evaluate their in-sample forecast values, and compute forecast values beyond the sample period. Various alternative multiple regressions models are presented based on a single time series, bivariate, and triple time-series, which are developed by taking into account specific growth patterns of each dependent variables, starting with the simplest model up to the most advanced model. Graphs of the observed scores and the forecast evaluation of each of the models are offered to show the worst and the best forecast models among each set of the models of a specific independent variable.
Advanced Time Series Data Analysis: Forecasting Using EViews provides readers with a number of modern, advanced forecast models not featured in any other book. They include various interaction models, models with alternative trends (including the models with heterogeneous trends), and complete heterogeneous models for monthly time series, quarterly time series, and annually time series. Each of the models can be applied by all quantitative researchers.
Presents models that are all classroom tested
Contains real-life data samples
Contains over 350 equation specifications of various time series models
Contains over 200 illustrative examples with special notes and comments
Applicable for time series data of all quantitative studies
Advanced Time Series Data Analysis: Forecasting Using EViews will appeal to researchers and practitioners in forecasting models, as well as those studying quantitative data analysis. It is suitable for those wishing to obtain a better knowledge and understanding on forecasting, specifically the uncertainty of forecast values.
Автор: Robert Shumway, David Stoffer Название: Time Series: A Data Analysis Approach Using R ISBN: 0367221098 ISBN-13(EAN): 9780367221096 Издательство: Taylor&Francis Рейтинг: Цена: 74510.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook is designed for an introductory time series course where the prerequisites are an understanding of linear regression and some basic probability skills. All of the numerical examples were done using the R statistical package, and the code is typically listed at the end of an example.
Автор: Das Panchanan Название: Econometrics in Theory and Practice: Analysis of Cross Section, Time Series and Panel Data with Stata 15.1 ISBN: 9813290188 ISBN-13(EAN): 9789813290181 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software.The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.
Автор: Michael C. Whitlock, Dolph Schluter Название: The Analysis of Biological Data ISBN: 1319325343 ISBN-13(EAN): 9781319325343 Издательство: Macmillan Learning Рейтинг: Цена: 92390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.
Автор: Donald B. Percival, Andrew T. Walden Название: Spectral Analysis for Univariate Time Series ISBN: 1107028140 ISBN-13(EAN): 9781107028142 Издательство: Cambridge Academ Рейтинг: Цена: 97150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.
Автор: Carver Robert Название: Practical Data Analysis with Jmp, Second Edition ISBN: 1612908233 ISBN-13(EAN): 9781612908236 Издательство: Неизвестно Рейтинг: Цена: 88220.00 T Наличие на складе: Невозможна поставка.
Автор: Elaine Lasda Название: The New Metrics: Practical Assessment of Research Impact ISBN: 1789732700 ISBN-13(EAN): 9781789732702 Издательство: Emerald Рейтинг: Цена: 92140.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: New methods in bibliometrics and alternative metrics provide us with information about research impact at both increasingly granular and global levels. Here, editor Elaine Lasda and a cast of expert contributors present a variety of case studies that demonstrate the practical utilization of these new scholarly metrics.
Автор: Andrew Dabalen, Alvin Etang, Johannes Hoogeveen, Elvis Mushi, Youdi Schipper, Johannes von Engelhardt Название: Mobile Phone Panel Surveys in Developing Countries: A Practical Guide for Microdata Collection ISBN: 1464809046 ISBN-13(EAN): 9781464809040 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 29260.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This handbook documents thoroughly, an innovative approach to data collection in developing countries, which combines baseline data from a household survey with subsequent interviews of selected respondents using mobile phones.
Автор: Little Название: Statistical Analysis with Missing Data, Third Edit ion ISBN: 0470526793 ISBN-13(EAN): 9780470526798 Издательство: Wiley Рейтинг: Цена: 84430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.
Автор: E. Parzen Название: Time Series Analysis of Irregularly Observed Data ISBN: 0387960406 ISBN-13(EAN): 9780387960401 Издательство: Springer Рейтинг: Цена: 97820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The symposium aimed to provide a review of the state of the art, define outstanding problems for research by theoreticians, transmit to practitioners recently developed algorithms, and stimulate interaction between statisticians and researchers in subject matter fields.
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