Free PDF BookusSemiparametric and Nonparametric Methods in Econometrics (Springer Series in Statistics)

[Free Ebook.lskF] Semiparametric and Nonparametric Methods in Econometrics (Springer Series in Statistics)

[Free Ebook.lskF] Semiparametric and Nonparametric Methods in Econometrics (Springer Series in Statistics)

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Standard methods for estimating empirical models in economics and many other fields rely on strong assumptions about functional forms and the distributions of unobserved random variables. Often, it is assumed that functions of interest are linear or that unobserved random variables are normally distributed. Such assumptions simplify estimation and statistical inference but are rarely justified by economic theory or other a priori considerations. Inference based on convenient but incorrect assumptions about functional forms and distributions can be highly misleading. Nonparametric and semiparametric statistical methods provide a way to reduce the strength of the assumptions required for estimation and inference, thereby reducing the opportunities for obtaining misleading results. These methods are applicable to a wide variety of estimation problems in empirical economics and other fields, and they are being used in applied research with increasing frequency. The literature on nonparametric and semiparametric estimation is large and highly technical. This book presents the main ideas underlying a variety of nonparametric and semiparametric methods. It is accessible to graduate students and applied researchers who are familiar with econometric and statistical theory at the level taught in graduate-level courses in leading universities. The book emphasizes ideas instead of technical details and provides as intuitive an exposition as possible. Empirical examples illustrate the methods that are presented. This book updates and greatly expands the author’s previous book on semiparametric methods in econometrics. Nearly half of the material is new. Statistics and Data Analysis for Financial Engineering Statistics and Data Analysis for Financial Engineering with R examples Authors: Ruppert David Matteson David S Bayesian inference - Wikipedia Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information Time series - Wikipedia A time series is a series of data points indexed (or listed or graphed) in time order Most commonly a time series is a sequence taken at successive equally spaced Econometrics Books This webpage provides recommendations for econometrics books Options for undergraduate econometrics graduate econometrics and other fields are provided The other
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