david warton (12 Ergebnisse)

First Edition. Very good cloth copy in a very good, somewhat edge-bumped and dust-dulled dust-wrapper, now mylar-sleeved. Remains well-preserved overall. Physical description; lxxvi, 775 pages : illustrations ; 25 cm. Subjects; Warton, Thomas (1728-1790) Correspondence. Poets, English 18th century Correspondence. Literary historians Great Britain Correspondence. 1 Kg.

Hardcover. Zustand: Like New. Zustand des Schutzumschlags: Like New. First Edition. First Edition, First Printing. Published by University of Georgia, 1995. Octavo. Hardcover. Book is like new. Dust jacket is like new. 100% positive feedback. 30 day money back guarantee. NEXT DAY SHIPPING! Excellent customer service. All books packed carefully and ship with free delivery confirmation/tracking. All books come with free bookmarks. Ships from Sag Harbor, New York.

Hardcover/Hardback. Zustand: Very Good. Zustand des Schutzumschlags: Very Good. First edition, first printing. 866 pages (lxxxviii, 778), appendices, calendar, index; publisher's black cloth with gilt titles on the spine; black-and-white pictorial dust-jacket. Very Good, no writing or other defacements; at some time the book has been put down spine uppermost whilst open and the first few pages are slightly diagonally distorted - not creased but a slight wave: unclipped jacket. Pictures show this actual book. UK orders are post-free. Heavy book - extra charges will be needed for shipping overseas (packed weight 1.6 kg).

Zustand: Brand New. This book explores how the Reformation's transformation of religious belief into a political statement and the saturation of the national past with religious implications (created by the political developments of the 1530s) was reflected in sixteenth-century English historiography and historical drama, including Shakespeare's history plays.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis.For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way. The book begins by reviewing some core principles in statistics, and relates common methods to the linear model, a general framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to multivariate analysis. Along the way there is an introduction to: important principles in model selection; adaptations of the model to handle non-linearity and cyclical variables; dependence due to structured correlation in time, space or phylogeny; and design-based techniques for inference that can relax some of the modelling assumptions.It concludes with a range of advanced topics in model-based multivariate analysis relevant to the modern ecologist, including fourth corner, latent variable and copula models.Examples span a variety of applications including environmental monitoring, species distribution modeling, global-scale surveys of plant traits, and small field experiments on biological controls. Math Boxes throughout the book explain some of the core ideas mathematically for readers who want to delve deeper, and R code is used throughout.Accompanying code, data, and solutions to exercises can be found in the ecostats R package on CRAN.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis.For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way. The book begins by reviewing some core principles in statistics, and relates common methods to the linear model, a general framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to multivariate analysis. Along the way there is an introduction to: important principles in model selection; adaptations of the model to handle non-linearity and cyclical variables; dependence due to structured correlation in time, space or phylogeny; and design-based techniques for inference that can relax some of the modelling assumptions.It concludes with a range of advanced topics in model-based multivariate analysis relevant to the modern ecologist, including fourth corner, latent variable and copula models.Examples span a variety of applications including environmental monitoring, species distribution modeling, global-scale surveys of plant traits, and small field experiments on biological controls. Math Boxes throughout the book explain some of the core ideas mathematically for readers who want to delve deeper, and R code is used throughout.Accompanying code, data, and solutions to exercises can be found in the ecostats R package on CRAN.

Buch. Zustand: Neu. Neuware -This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis.For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way. The book begins by reviewing some core principles in statistics, and relates common methods to the linear model, a general framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to multivariate analysis. Along the way there is an introduction to: important principles in model selection; adaptations of the model to handle non-linearity and cyclical variables; dependence due to structured correlation in time, space or phylogeny; and design-based techniques for inference that can relax some of the modelling assumptions. It concludes with a range of advanced topics in model-based multivariate analysis relevant to the modern ecologist, including fourth corner, latent variable and copula models.Examples span a variety of applications including environmental monitoring, species distribution modeling, global-scale surveys of plant traits, and small field experiments on biological controls. Math Boxes throughout the book explain some of the core ideas mathematically for readers who want to delve deeper, and R code is used throughout. Accompanying code, data, and solutions to exercises can be found in the ecostats R package on CRAN.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 448 pp. Englisch.

Paperback. Zustand: Brand New. 9.25x6.10 inches. In Stock.

Hardcover. Zustand: Brand New. 433 pages. 9.75x6.50x1.25 inches. In Stock.

Hardcover. Zustand: Brand New. 1st edition. 660 pages. 9.00x5.75x0.25 inches. In Stock.

Hardcover. Zustand: Brand New. 1st edition. 660 pages. 8.75x5.75x1.00 inches. In Stock.

Pas de couverture. Zustand: bon. RO50022020: 1917. In-4. En feuillets. Bon état, Couv. légèrement passée, Dos satisfaisant, Quelques rousseurs. Non paginé. 3 pages environ. Gravure couleur d'après C. Gesman en couverture. . . . Classification Dewey : 780.26-Partitions.