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Statistical methods /

Statistical Methods, 3e provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines. This text takes a classic approach emphasizing concepts and techniques for working out pr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Freund, Rudolf J. (Rudolf Jakob), 1927-2014
Otros Autores: Wilson, William J., 1940-, Mohr, Donna L.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Boston : Elsevier, �2010.
Edición:3rd ed.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Freund, Rudolf J.  |q (Rudolf Jakob),  |d 1927-2014. 
245 1 0 |a Statistical methods /  |c Rudolf J. Freund, William J. Wilson, Donna L. Mohr. 
250 |a 3rd ed. 
260 |a Amsterdam ;  |a Boston :  |b Elsevier,  |c �2010. 
300 |a 1 online resource (xxi, 796 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Title from title screen (viewed on Apr 4, 2012). 
520 |a Statistical Methods, 3e provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines. This text takes a classic approach emphasizing concepts and techniques for working out problems and intepreting results. The book includes research projects, real-world case studies, numerous examples and data exercises organized by level of difficulty. This text requires that a student be familiar with algebra. New to this edition: NEW expansion of exercises applying different techniques and methods NEW examples and datasets using current real-world data New text organization to create a more natural connection between regression and the Analysis of the Variance NEW material on generalized linear models NEW expansion of nonparametric techniques NEW student research projects NEW case studies for gathering, summarizing, and analyzing data Supplements: NEW companion website with downloadable data sets and additional resources including live links to statistical software such as SAS and SPSS Student Solutions Manual - to come Instructor Manual - to come Sample chapter - http://www.elsevierdirect.com/product.jsp?isbn=9780123749703 Integrates the classical conceptual approach with modern day computerized data manipulation and computer applications Accessibile to students who may not have a background in probability or calculus Offers reader-friendly exposition, without sacrificing statistical rigor Includes many new data sets in various applied fields such as Psychology, Education, Biostatistics, Agriculture, Economics. 
505 0 |a 1. Data and statistics; 2. Probability and sampling distributions; 3. Principles of inference; 4. Inferences on a single population; 5. Inferences for two populations; 6. Inferences for two or more means; 7. Linear regression; 8. Multiple regression; 9. Linear models; 10. Factorial experiments; 11. Design of experiments;12. Categorical data; 13. Generalized linear models; 14. Nonparametric methods. 
504 |a Includes bibliographical references and index. 
546 |a English. 
650 0 |a Statistics. 
650 7 |a Statistics.  |2 fast  |0 (OCoLC)fst01132103 
700 1 |a Wilson, William J.,  |d 1940- 
700 1 |a Mohr, Donna L. 
776 0 8 |i Print version:  |a Freund, Rudolf J. (Rudolf Jakob), 1927-  |t Statistical methods.  |b 3rd ed.  |d Amsterdam ; Boston : Elsevier, �2010  |z 9780123749703  |w (DLC) 2010016883  |w (OCoLC)612960471 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780123749703  |z Texto completo