Statistical methods / (Registro nro. 20739)

Detalles MARC
000 -LIDER
Campo de control de longitud fija 04223nam a22002294504500
008 - ELEMENTOS DE LONGITUD FIJA--INFORMACION GENERAL
Campo de control de longitud fija 040618/20032003////////r///////////eng//
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0122676513
040 ## - FUENTE DE CATALOGACION
Agencia de catalogación original SV-SoUDB
Idioma de catalogación spa
041 ## - CODIGO DE IDIOMA
Código de idioma para texto/pista de sonido o título separado eng
082 0# - NUMERO DE CLASIFICACION DECIMAL DEWEY
Número de clasificación 310
Notación interna F739
Año de publicación 2003
100 10 - ASIENTO PRINCIPAL--NOMBRE PERSONAL
Nombre personal Freund, Rudolf Jakob,
Fechas asociadas con el nombre 1927-
Término relacionado Autor
245 10 - TITULO
Título Statistical methods /
250 ## - MENCION DE EDICION
Mención de edición 2nd ed.
260 ## - PUBLICACION, DISTRIBUCION, ETC.
Lugar de publicación San Diego, Estados Unidos :
Nombre del editor Academic Press,
Fecha de publicación 2003
300 ## - DESCRIPCION FISICA
Extensión xx , 673 p. ;
Dimensiones 25 cm.
520 0# - NOTA DE RESUMEN, ETC.
Resumen The objective of Statistical Methods, Second Edition, is to provide students with a working introduction to statistical methods. Courses using this book are normally taken by advanced undergraduate statistics students and gradúate students from various disciplines. Statistical Methods is an upper-level requirement for undergraduate degrees in disciplines emphasizing quantitative skills, or a requirement for gradúate degrees in disciplines where statistics is an important research tool. This book is intended to be used for this type of course. The material in this book provides an overview of a wide range of applications and normally requires two semesters, although a limited knowledge of statistical methods is provided in the first semester. Many students will continué with several-additional courses in specialized statistics applications. Traditionally, textbooks used for statistical methods courses have emphasized plugging numbers into formulas, with computer usage as an afterthought. This approach has led to much mind-numbing drill, which obscures the real issues. The increased usage of computers and availability of comprehensive statistical software packages wouid seem to imply that statistical methods shouid now be taught in terms of implementing such software. This approach is likely to make the computer appear as a black box into which one pours data files and automatically receives the correct answers. However, a computer does not know whether it is doing the correct analysis and is capable of a beautifully annotated execution of an incorrect analysis. Aiso a computer cannot interpret results and write a report. Guiding Principies This text provides a reasonable compromise between these two extremes. Our guiding principies are as follows: • No mathematics beyond algebra is required. However, mathematically oriented students may still find the material in this book challenging, especially if they are aiso exposed to courses in statistical theory. • Formulas are presented primarily to show the how and why of a particular statistical analysis. For that reason, there is a minimal number of exercises that plug numbers into formulas. • The topics in this book are organized in broad categories to facilitate the choice of the best-performance methodology for a specific task and there is considerable cross-referencing to facilítate making this choice. • All examples containing real data are worked to a logical conclusión, including interpretation of results. Where computer printouts are used, the results are discussed and explained. In general, the emphasis is on conclusions rather than mechanics. • Throughout the book we stress that certain assumptions about the data must be fulfilled in order for the statistical analyses to be valid, and we emphasize that although the assumptions are often fulfilled, they shouid be routinely checked. New to This Edition - Friendiier exposition makes concepts clearer to students without weakening the statistical rigor of the material. - New, greater emphasis on graphics help students to visualize and understand ideas. - Examples of contemporary topics, such as analysis ofmeans, are included at appropriate points in the text. - Exercises or portions of exercises are identified when material is covered from specific sections, allowing students to practice the methods without having to wait until a complete chapter is covered. - Examples and exercises contain both contemporary data and references to additional data on the Internet or in other published works.
650 04 - MATERIA--TERMINO TEMATICO
Termino tematico o nombre geografico STATISTICS
650 04 - MATERIA--TERMINO TEMATICO
Termino tematico o nombre geografico ESTADISTICA
650 04 - MATERIA--TERMINO TEMATICO
Termino tematico o nombre geografico CIENCIAS BASICAS
700 10 - ENTRADA SECUNDARIA - AUTOR PERSONAL
Autor secundario Wilson, William J.
Fechas asociadas con el nombre 1940-
Rol del autor
942 ## - AGREGAR ELEMENTOS DE ENTRADA (KOHA)
Fuente de clasificación o esquema de estanterías Dewey Decimal Classification
Fecha de catalogación 18/06/2004
Tipo de item Libro 3 días
Edción Jorge Bonilla
Existencias
Estado retirado No para préstamo Codigo de colección Ubicación permanente Ubicación actual Fecha de adquisición Forma de adquisición Costo, Precio Renovaciones totales Signatura dewey Codigo de barras Fecha de la última visita Fecha de último préstamo Numero de copia Tipo de item koha
    Colección General Biblioteca Rafael Meza Ayau Biblioteca Rafael Meza Ayau 01/06/2004 Donación 40.00 12 310 F739 2003 33795 01/03/2025 01/03/2025 001 Libro 3 días
    Colección General Biblioteca Rafael Meza Ayau Biblioteca Rafael Meza Ayau 01/06/2004 Donación 40.00   310 F739 2003 33796 08/11/2019   002 Libro 3 días

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