¡Agotado, pero muy deseado!
Valoración del libro
Parámetros
- 757 páginas
- 27 horas de lectura
Más información sobre el libro
This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Although a number of excellent texts in these areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style and contain much more detail than necessary. Here, an effort has been made to relate biological to statistical parameters throughout, and the book includes extensive examples that illustrate the developing argument.
Compra de libros
Statistics for Biology and Health: Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics, Daniel Sörensen, Daniel Gianola
- Idioma
- Publicado en
- 2002
- product-detail.submit-box.info.binding
- (Tapa dura)
Te avisaremos por correo electrónico en cuanto lo localicemos.
Métodos de pago
Nos falta tu reseña aquí
- Título
- Statistics for Biology and Health: Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
- Idioma
- Inglés
- Autores
- Daniel Sörensen, Daniel Gianola
- Editorial
- Springer
- Publicado en
- 2002
- Formato
- Tapa dura
- Páginas
- 757
- ISBN10
- 0387954406
- ISBN13
- 9780387954400
- Serie
- Etiquetas
- No ficción, Ciencia y Matemáticas, Ciencias naturales, Biología, Ciencia, EE.UU., Matemáticas, Plantas, Medicina, Educación, Evolución, Genética, Estadística, Bioquímica, Genética de plantas, Mejoramiento de plantas
- Calificación
- 3,65 de 5
- Descripción
- This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Although a number of excellent texts in these areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style and contain much more detail than necessary. Here, an effort has been made to relate biological to statistical parameters throughout, and the book includes extensive examples that illustrate the developing argument.