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The data analysis handbook /

Analyzing observed or measured data is an important step in applied sciences. The recent increase in computer capacity has resulted in a revolution both in data collection and data analysis. An increasing number of scientists, researchers and students are venturing into statistical data analysis; he...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Frank, Ildiko E.
Otros Autores: Todeschini, Roberto
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; New York : Elsevier, 1994.
Colección:Data handling in science and technology ; v. 14.
Temas:
Acceso en línea:Texto completo
Texto completo

MARC

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100 1 |a Frank, Ildiko E. 
245 1 4 |a The data analysis handbook /  |c Ildiko E. Frank and Roberto Todeschini. 
260 |a Amsterdam ;  |a New York :  |b Elsevier,  |c 1994. 
300 |a 1 online resource (xviii, 365 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 
490 1 |a Data handling in science and technology ;  |v v. 14 
504 |a Includes bibliographical references (pages 353-365). 
520 |a Analyzing observed or measured data is an important step in applied sciences. The recent increase in computer capacity has resulted in a revolution both in data collection and data analysis. An increasing number of scientists, researchers and students are venturing into statistical data analysis; hence the need for more guidance in this field, which was previously dominated mainly by statisticians. This handbook fills the gap in the range of textbooks on data analysis. Written in a dictionary format, it will serve as a comprehensive reference book in a rapidly growing field. However, this book is more structured than an ordinary dictionary, where each entry is a separate, self-contained entity. The authors provide not only definitions and short descriptions, but also offer an overview of the different topics. Therefore, the handbook can also be used as a companion to textbooks for undergraduate or graduate courses. 1700 entries are given in alphabetical order grouped into 20 topics and each topic is organized in a hierarchical fashion. Additional specific entries on a topic can be easily found by following the cross-references in a top-down manner. Several figures and tables are provided to enhance the comprehension of the topics and a list of acronyms helps to locate the full terminologies. The bibliography offers suggestions for further reading. 
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700 1 |a Todeschini, Roberto. 
776 0 8 |i Print version:  |a Frank, Ildiko E.  |t Data analysis handbook.  |d Amsterdam ; New York : Elsevier, 1994  |z 0444816593  |z 9780444816597  |w (DLC) 94034773  |w (OCoLC)31045835 
830 0 |a Data handling in science and technology ;  |v v. 14. 
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