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Experimental design and data analysis for biologists Gerry P. Quinn, Michael J. Keough

Tipo de material: Libro
 impreso(a) 
 Libro impreso(a) Idioma: Inglés Detalles de publicación: Cambridge, England Cambridge University Press c2002Descripción: xvii, 537 páginas 25 centímetrosTipo de contenido:
  • Texto
Tipo de medio:
  • Sin medio
Tipo de soporte:
  • Volumen
ISBN:
  • 0521009766
  • 9780521009768
Tema(s) en español: Clasificación:
  • 574.015195 QU5
Resumen:
Inglés

"This essential textbook is designed for students or researchers in biology who need to design experiments, sampling programs, or analyze resulting data. The text begins with a revision of estimation and hypothesis testing methods, before advancing to the analysis of linear and generalized linear models. The chapters include such topics as linear and logistic regression, simple and complex ANOVA models, log-linear models, and multivariate techniques. The main analyses are illustrated with many examples from published papers and an extensive reference list to both the statistical and biological literature is also included. The book is supported by a web-site that provides all data sets, questions for each chapter and links to software."

Número de sistema: 38734
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Libros Biblioteca Campeche Acervo General (AG) Acervo General 574.015195 QU5 Disponible ECO040003188
Libros Biblioteca Chetumal Acervo General (AG) Acervo General 574.015195 QU5 Disponible ECO030001669
Libros Biblioteca San Cristóbal Acervo General (AG) Acervo General 574.015195 QU5 Disponible ECO010013643
Libros Biblioteca Tapachula Acervo General (AG) Acervo General 574.015195 QU5 Disponible ECO020012915
Libros Biblioteca Tapachula Acervo General (AG) Acervo General 574.015195 QU5 EJ. 2 Disponible ECO020013392
Libros Biblioteca Villahermosa Acervo General (AG) Acervo General 574.015195 QU5 Disponible ECO050006835

Incluye bibliografía: páginas 511-526 e índice: páginas 527-537

"This essential textbook is designed for students or researchers in biology who need to design experiments, sampling programs, or analyze resulting data. The text begins with a revision of estimation and hypothesis testing methods, before advancing to the analysis of linear and generalized linear models. The chapters include such topics as linear and logistic regression, simple and complex ANOVA models, log-linear models, and multivariate techniques. The main analyses are illustrated with many examples from published papers and an extensive reference list to both the statistical and biological literature is also included. The book is supported by a web-site that provides all data sets, questions for each chapter and links to software." Inglés