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This highly successful text has long been considered the standard introduction to the practical analysis of English sentence structure It covers key concepts such as constituency category & functions & also utilises tree diagrams throughout to help the reader visualise the structure of sentences In this fourth edition Analysing Sentences has been thoroughly revised & now features a brand new companion website with additional activities & exercises for students & an answer book for the in-text exercises for professors The extra activities on the website give students practice in identifying syntactic phenomena in running text & will help to deepen understanding of this topic Accessible & clear this book is the perfect textbook for readers coming to this topic for the first time Featuring many in-text end-of-chapter & Further Exercises it is suitable for self-directed study as well as for use as core reading on courses ...
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Analysis Of Financial Time Series

This book provides a broad mature and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data It utilizes real-world examples and real financial data throughout the book to apply the models and methods described The author begins with basic characteristics of financial time series data before covering three main topics Analysis and application of univariate financial time seriesThe return series of multiple assetsBayesian inference in finance methods Key features of the new edition include additional coverage of modern day topics such as arbitrage pair trading realized volatility and credit risk modeling; a smooth transition from S-Plus to R; and expanded empirical financial data sets The overall
objective of the book is to provide some knowledge of financial time series introduce some statistical tools useful for analyzing these series and gain experience in financial applications of various econometric methods
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This book provides a broad mature & systematic introduction to current financial econometric models & their applications to modeling & prediction of financial time series data It utilizes real-world examples & real financial data throughout the book to apply the models & methods described The author begins with basic characteristics of financial time series data before covering three main topics Analysis & application of univariate financial time series The return series of multiple assets Bayesian inference in finance methods Key features of the new edition include additional coverage of modern day topics such as arbitrage pair trading realized volatility & credit risk modeling; a smooth transition from S-Plus to R; & expanded empirical financial data sets The overall objective of the book is to provide some knowledge of financial time series introduce some statistical tools useful for analyzing these series & gain experience in financial applications of various econometric methods

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