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Quantitative Methods In Linguistics | 
enlarge | Author: Keith Johnson Publisher: Wiley-Blackwell Category: Book
List Price: $44.95 Buy New: $38.43 You Save: $6.52 (15%)
New (21) Used (13) from $36.98
Avg. Customer Rating: 1 reviews Sales Rank: 188044
Media: Paperback Number Of Items: 1 Pages: 296 Shipping Weight (lbs): 1 Dimensions (in): 8.9 x 6 x 0.9
ISBN: 1405144254 Dewey Decimal Number: 401.21 EAN: 9781405144254 ASIN: 1405144254
Publication Date: February 28, 2008 Availability: Usually ships in 1-2 business days Shipping: International shipping available Condition: Brand New, Perfect Condition, Please allow 4-14 business days for delivery. 100% Money Back Guarantee, Over 1,000,000 customers served.
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| Editorial Reviews:
Product Description Quantitative Methods in Linguistics introduces the general strategies and methods of quantitative analysis. The book dedicates individual chapters to phonetics, psycholinguistics, sociolinguistics, historical linguistics, and syntax, as well as two introductory chapters on probability distribution and quantitative methods. Each chapter uses actual data sets which have been contributed by researchers working in the field to illustrate key principles. The book also provides detailed instruction in practical aspects of handling quantitative linguistic data by using statistical software package (R) to discover patterns in quantitative data and to test linguistic hypotheses. End-of-chapter assignments and a balanced presentation make this an ideal text for students. Further information and resources are available from the accompanying website at www.blackwellpublishing.com/quantmethods.
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| Customer Reviews:
stats for linguists April 26, 2008 1 out of 1 found this review helpful
Although the book is really fast-paced and requires either prior knowledge of statistics or a companion statistics text for *complete* understanding, it does a fantastic job of applying the various statistical methods to real-life linguistic experiments and research. If you are conducting research in any field of linguistics and require stats for your data, this book is a must have. The R codes provided are super helpful because once you have the basis for the code, it's easy to transform it to meet your needs even with only a basic understanding of R. One caveat, though, is that because this is a first edition, there are several typos. Dr. Keith Johnson welcomes any comments about this and any other issues, and is approachable enough to respond to emails with questions about the text.
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