Bengali-Guided Grammar-TB-03

Bengali-Guided Grammar-TB-01

Bengali-Guided Grammar-TB-02

Bengali-Guided Grammar-TB-04

There are more native speakers of Sino-Tibetan languages than of any other language family in the world. Our records of these languages are among the oldest for any human language, and the amount of active research on them has multiplied in the last few decades. Now in its second edition and fully updated to include new research, The Sino-Tibetan Languages includes overview articles on individual languages, with an emphasis on the less commonly described languages, as well as descriptions and comments on the subgroups in which they occur. There are overviews of the whole family on genetic classification and language contact, syntax and morphology, and also on word order typology. There are also more detailed overview articles on the phonology, morphosyntax, and writing system of just the Sinitic side of the family. Supplementing these overviews are articles on Shanghainese, Cantonese and Mandarin dialects. Tibeto-Burman is reviewed by genetic or geographical sub-group, with overview articles on some of the major groups and areas, and there are also detailed descriptions of 41 individual Tibeto-Burman languages, written by world experts in the field. Designed for students and researchers of Asian languages, The Sino-Tibetan Languages is a detailed overview of the field. This book is invaluable to language students, experts requiring concise, but thorough, information on related languages, and researchers working in historical, typological and comparative linguistics.

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.