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Quantile Regression: Applications on Experimental and Cross Section Data Using Eviews, Agung I. Gusti Ngurah


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Автор: Agung I. Gusti Ngurah
Название:  Quantile Regression: Applications on Experimental and Cross Section Data Using Eviews
ISBN: 9781119715177
Издательство: Wiley
Классификация:
ISBN-10: 1119715172
Обложка/Формат: Hardcover
Страницы: 496
Вес: 0.97 кг.
Дата издания: 29.06.2021
Язык: English
Размер: 24.41 x 16.99 x 2.69 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Applications on experimental and cross section data using eviews
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: QUANTILE REGRESSION

A thorough presentation of Quantile Regression designed to help readers obtain richer information from data analyses

The conditional least-square or mean-regression (MR) analysis is the quantitative research method used to model and analyze the relationships between a dependent variable and one or more independent variables, where each equation estimation of a regression can give only a single regression function or fitted values variable. As an advanced mean regression analysis, each estimation equation of the mean-regression can be used directly to estimate the conditional quantile regression (QR), which can quickly present the statistical results of a set nine QR(τ)s for τ(tau)s from 0.1 up to 0.9 to predict detail distribution of the response or criterion variable. QR is an important analytical tool in many disciplines such as statistics, econometrics, ecology, healthcare, and engineering.

Quantile Regression: Applications on Experimental and Cross Section Data Using EViews provides examples of statistical results of various QR analyses based on experimental and cross section data of a variety of regression models. The author covers the applications of one-way, two-way, and n-way ANOVA quantile regressions, QRs with multi numerical predictors, heterogeneous QRs, and latent variables QRs, amongst others. Throughout the text, readers learn how to develop the best possible quantile regressions and how to conduct more advanced analysis using methods such as the quantile process, the Wald test, the redundant variables test, residual analysis, the stability test, and the omitted variables test. This rigorous volume:

  • Describes how QR can provide a more detailed picture of the relationships between independent variables and the quantiles of the criterion variable, by using the least-square regression
  • Presents the applications of the test for any quantile of any numerical response or -criterion variable
  • Explores relationship of QR with heterogeneity: how an independent variable affects a dependent variable
  • Offers expert guidance on forecasting and how to draw the best conclusions from the results obtained
  • Provides a step-by-step estimation method and guide to enable readers to conduct QR analysis using their own data sets
  • Includes a detailed comparison of conditional QR and conditional mean regression

Quantile Regression: Applications on Experimental and Cross Section Data Using EViews is a highly useful resource for students and lecturers in statistics, data analysis, econometrics, engineering, ecology, and healthcare, particularly those specializing in regression and quantitative data analysis.



Quantile Regression for Cross-Sectional and Time Series Data: Applications in Energy Markets Using R

Автор: Uribe Jorge M., Guillen Montserrat
Название: Quantile Regression for Cross-Sectional and Time Series Data: Applications in Energy Markets Using R
ISBN: 3030445038 ISBN-13(EAN): 9783030445034
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This brief addresses the estimation of quantile regression models from a practical perspective, which will support researchers who need to use conditional quantile regression to measure economic relationships among a set of variables.

Quantile Regression

Автор: Davino Cristina
Название: Quantile Regression
ISBN: 111997528X ISBN-13(EAN): 9781119975281
Издательство: Wiley
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Цена: 11555.00 р.
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Описание: A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods.

Quantile regression

Автор: Koenker, Roger
Название: Quantile regression
ISBN: 0521608279 ISBN-13(EAN): 9780521608275
Издательство: Cambridge Academ
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Цена: 6018.00 р.
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Описание: Quantiles provide a natural description of statistical variability in diverse populations; quantile regression offers a unified statistical methodology for studying how these measures of diversity depend upon other influences.

Quantile Regression: v. 149

Автор: Hao
Название: Quantile Regression: v. 149
ISBN: 1412926289 ISBN-13(EAN): 9781412926287
Издательство: Sage Publications
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Цена: 5859.00 р.
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Описание: Quantile Regression establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literatures exist for each subject matter, the authors explore the natural connections between this increasingly sought-after tool and research topics in the social sciences.

Advanced Time Series Data Analysis: Forecasting Using Eviews

Автор: Agung
Название: Advanced Time Series Data Analysis: Forecasting Using Eviews
ISBN: 1119504716 ISBN-13(EAN): 9781119504719
Издательство: Wiley
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Цена: 13614.00 р.
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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.

Time Series Data Analysis Using Eviews

Автор: Agung
Название: Time Series Data Analysis Using Eviews
ISBN: 0470823674 ISBN-13(EAN): 9780470823675
Издательство: Wiley
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Цена: 15674.00 р.
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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: Griffiths
Название: Using EViews for Principles of Econometrics, 3rd Edition and Principles of Econometrics, Fourth Edition Interna Set
ISBN: 1118185129 ISBN-13(EAN): 9781118185124
Издательство: Wiley
Цена: 37698.00 р.
Наличие на складе: Поставка под заказ.

Economic Applications of Quantile Regression

Автор: Bernd Fitzenberger; Roger Koenker; Jose A.F. Macha
Название: Economic Applications of Quantile Regression
ISBN: 3790825026 ISBN-13(EAN): 9783790825022
Издательство: Springer
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Цена: 24456.00 р.
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Описание: Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables.

Cross Section and Experimental Data Analysis Using  Eviews

Автор: Agung
Название: Cross Section and Experimental Data Analysis Using Eviews
ISBN: 0470828420 ISBN-13(EAN): 9780470828427
Издательство: Wiley
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Цена: 16624.00 р.
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Описание: A practical guide to selecting and applying the most appropriate model for analysis of cross section data using EViews. "This book is a reflection of the vast experience and knowledge of the author. It is a useful reference for students and practitioners dealing with cross sectional data analysis.

Panel Data Analysis Using eViews

Автор: Agung I Gusti Ngurah
Название: Panel Data Analysis Using eViews
ISBN: 1118715586 ISBN-13(EAN): 9781118715581
Издательство: Wiley
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Цена: 16466.00 р.
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Описание: A comprehensive and accessible guide to panel data analysis using EViews software This book explores the use of EViews software in creating panel data analysis using appropriate empirical models and real datasets.

Quantile Regression

Автор: Koenker
Название: Quantile Regression
ISBN: 0521845734 ISBN-13(EAN): 9780521845731
Издательство: Cambridge Academ
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Цена: 15682.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Quantiles provide a natural description of statistical variability in diverse populations; quantile regression offers a unified statistical methodology for studying how these measures of diversity depend upon other influences.


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