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Analyzing Linguistic Data: A Practical Introduction to Statistics using R | 
enlarge | Author: R. H. Baayen Publisher: Cambridge University Press Category: Book
List Price: $38.99 Buy New: $33.57 You Save: $5.42 (14%)
New (18) Used (2) from $33.57
Sales Rank: 251905
Media: Paperback Edition: 1 Number Of Items: 1 Pages: 368 Shipping Weight (lbs): 1.6 Dimensions (in): 9.6 x 6.9 x 0.9
ISBN: 0521709180 Dewey Decimal Number: 410.151 EAN: 9780521709187 ASIN: 0521709180
Publication Date: March 17, 2008 Availability: Usually ships in 1-2 business days Shipping: Expedited shipping available Shipping: International shipping available Condition: Ships next business day from NY
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Product Description Statistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data. This textbook provides a straightforward introduction to the statistical analysis of language. Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using 'R', the leading computational statistics programme. The reader is guided step-by-step through a range of real data sets, allowing them to analyse acoustic data, construct grammatical trees for a variety of languages, quantify register variation in corpus linguistics, and measure experimental data using state-of-the-art models. The visualization of data plays a key role, both in the initial stages of data exploration and later on when the reader is encouraged to criticize various models. Containing over 40 exercises with model answers, this book will be welcomed by all linguists wishing to learn more about working with and presenting quantitative data.
Book Description A straightforward introduction to the statistical analysis of language, designed for those with a non-mathematical background. Using the leading statistics programme 'R', the reader is guided step-by-step through a range of data sets, aided by over 40 exercises with model answers. Suitable for all those working with quantitative language data.
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