Michael J. Crawley – författare
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7 produkter
7 produkter
2 662 kr
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1 600 kr
Skickas inom 5-8 vardagar
Many statistical modelling and data analysis techniques can be difficult to grasp and apply, and it is often necessary to use computer software to aid the implementation of large data sets and to obtain useful results. S-Plus is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply a number of statistical methods, ranging from simple regression to time series or multivariate analysis. This text offers extensive coverage of many basic and more advanced statistical methods, concentrating on graphical inspection, and features step-by-step instructions to help the non-statistician to understand fully the methodology.* Extensive coverage of basic, intermediate and advanced statistical methods* Uses S-Plus, which is recognised globally as one of the most powerful and flexible statistical software packages* Emphasis is on graphical data inspection, parameter estimation and model criticism* Features hundreds of worked examples to illustrate the techniques described* Accessible to scientists from a large number of disciplines with minimal statistical knowledge* Written by a leading figure in the field, who runs a number of successful international short courses* Accompanied by a Web site featuring worked examples, data sets, exercises and solutionsA valuable reference resource for researchers, professionals, lecturers and students from statistics, the life sciences, medicine, engineering, economics and the social sciences.
1 887 kr
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This book is about disease and death. It is an ecologist's view of Darwin's vivid evocation of Nature, red in tooth and claw. An international team of authors examines broad patterns in the population biology of natural enemies, and addresses general questions about the role of natural enemies in the population dynamics and evolution of their prey. For instance, how do large natural enemies like wolves differ from small natural enemies like bacterial diseases in their effects on prey abundance? Is it better to chase after prey, or sit and wait for it to come to you? How should prey behave in order to minimize the risk of being eaten? The answers are all in this fascinating senior undergraduate/postgraduate text.
1 448 kr
Skickas inom 11-20 vardagar
Plant ecology is the scientific study of the factors influencing the distribution and abundance of plants. This benchmark text, extremely well received in its first edition, shows how pattern and structure at different levels of plant organization--from ecophysiology through population dynamics to community structure and ecosystem function--are influenced by abiotic factors (eg, climate and soils) and by biotic factors (eg, competition and herbivory). Adopting a dynamic approach, this book combines descriptive text with theoretical models and experimental data. It will be invaluable reading for both student and practising ecologist alike.In this second edition, the structure of the book has been completely revised, moving from the small scale to the large scale, in keeping with contemporary teaching methods. This fresh approach allows consideration of several new and important topics such as plant secondary chemistry, herbivory, sex, and breeding systems. Additional chapters address topical applied issues in plant ecology including global warming, pollution and biodiversity. The latest edition of a very widely adopted textbookWritten by a team of leading experts and edited by an international authority in the field
440 kr
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"...I know of no better book of its kind..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006)A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package RThis new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range of disciplines. Step-by-step instructions help the non-statistician to fully understand the methodology. The book covers the full range of statistical techniques likely to be needed to analyse the data from research projects, including elementary material like t--tests and chi--squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.Includes numerous worked examples and exercises within each chapter.
995 kr
Skickas inom 5-8 vardagar
A start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields In the newly revised Third Edition of The R Book, a team of distinguished teachers and researchers delivers a user-friendly and comprehensive discussion of foundational and advanced topics in the R software language, which is used widely in science, engineering, medicine, economics, and other fields. The book is designed to be used as both a complete text—readable from cover to cover—and as a reference manual for practitioners seeking authoritative guidance on particular topics.This latest edition offers instruction on the use of the RStudio GUI, an easy-to-use environment for those new to R. It provides readers with a complete walkthrough of the R language, beginning at a point that assumes no prior knowledge of R and very little previous knowledge of statistics. Readers will also find: A thorough introduction to fundamental concepts in statistics and step-by-step roadmaps to their implementation in R;Comprehensive explorations of worked examples in R;A complementary companion website with downloadable datasets that are used in the book;In-depth examination of essential R packages.Perfect for undergraduate and postgraduate students of science, engineering, medicine economics, and geography, The R Book will also earn a place in the libraries of social sciences professionals.
347 kr
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R ist als statistische Standard-Programmiersprache für viele zu einem unverzichtbaren Werkzeug für zahlreiche Techniken der statistischen Modellierung und Datenanalyse geworden. Sie ermöglicht eine breite Auswahl statistischer Methoden – von der einfachen Regression bis hin zu Generalisierten Linearen Modellen. Statistik mit R ist eine anschauliche und leicht nachvollziehbare Einführung in die statistische Analyse unter Verwendung dieser leistungsstarken und frei erhältlichen Software. Michael J. Crawley bietet dem Leser Schritt-für-Schritt-Anleitungen, die keine Programmiervorkenntnisse voraussetzen und die dem Nicht-Statistiker helfen, die Methodik vollständig zu verstehen. Mit Hilfe von Praxisbeispielen wird der Leser von den einfachst en Fällen, bei denen vor allem die Richtigkeit der getroffenen Annahmen überprüft wird (beispielsweise Konstanz einer Varianz, Normalverteilung von Fehlern), über Fälle, bei denen die Angemessenheit des gewählten Modells beurteilt wird, bis hin zu Fällen, die die Anpassung an die Daten behandeln, geführt. Außerdem deckt das Buch die volle Breite der statistischen Techniken ab, die üblicherweise für die Datenanalyse bei Forschungsarbeiten benötigt werden, zum Beispiel t-Tests, Chi-Quadrat-Tests,weiterführende Methoden wie Regression und Varianzanalyse und fortgeschrittene Techniken wie Generalisierte Lineare Modelle. Statistik mit R ist eine Einführung in ein breites Spektrum von statistischen Methoden, die in zahlreichen wissenschaftlichen Dis ziplinen Anwendung fi nden.