Amaral Daniel (73 results)

Condition: As New. : Este libro examina el estado del diseño periodístico en el entorno digital. Con una presentación visual y ejemplos, muestra las tendencias y modelos en el diseño de webs de noticias. Basado en el análisis de 200 publicaciones digitales, identifica los contextos y enfoques para forjar la identidad a través del diseño, adaptándose al cambio. EAN: 9788498993684 Tipo: Libros Categoría: Tecnología|Educación Título: Evolución, tendencias y modelos en el diseño de webs de noticias Autor: Francisco Amaral| Daniel Gimeno Editorial: Editorial Sol 90 S.L. Idioma: es-ES Páginas: 192 Formato: tapa blanda.…

Encuadernación de tapa blanda. Condition: Muy bien. M859. Sol90 - 192pp Con multitud de fotografías a color, ejemplos y consejos. JG. L22.

Hardback. Condition: Good. Written by the leading experts in autism research, this text provides a summary of all current knowledge related to the behavioral, experiential, and biomedical features of the autism spectrum disorders.

Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Hardcover. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority.

Condition: As New. Unread book in perfect condition.

Hardback. Condition: Good. Written by the leading experts in autism research, this text provides a summary of all current knowledge related to the behavioral, experiential, and biomedical features of the autism spectrum disorders.

Condition: New.

Paperback. Condition: New. Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. The unique features of the text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to Bayesian inference. The text introduces Monte Carlo methods, Markov chain Monte Carlo methods, and Bayesian software, with additional material on model validation and comparison, transdimensional MCMC, and conditionally Gaussian models. The inclusion of problems makes the book suitable as a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion of Bayesian software - R/R-INLA, OpenBUGS, JAGS, STAN, and BayesX - makes it useful also for researchers and graduate students from beyond statistics.…

Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: New.

Hardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Condition: As New. Unread book in perfect condition.

Rústica. Condition: Nuevo. Ejemplar nuevo.

Paperback. Condition: Brand New. 243 pages. 9.00x6.00x0.75 inches. In Stock.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Condition: As New. Unread book in perfect condition.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: New.

Paperback. Condition: New. Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. The unique features of the text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to Bayesian inference. The text introduces Monte Carlo methods, Markov chain Monte Carlo methods, and Bayesian software, with additional material on model validation and comparison, transdimensional MCMC, and conditionally Gaussian models. The inclusion of problems makes the book suitable as a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion of Bayesian software - R/R-INLA, OpenBUGS, JAGS, STAN, and BayesX - makes it useful also for researchers and graduate students from beyond statistics.…

Condition: New.

Condition: New. In English.

Condition: New.

Paperback. Condition: Brand New. 202 pages. 8.75x5.75x0.25 inches. In Stock.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.