Найти книгу: "Statistics for Earth and Environmental Scientists"

A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water. Proper collection and analysis of data using statistical techniques contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems. The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling—all of which are explored through case studies that use real data from earth science applications. Subsequent chapters focus on principles of modeling and the key methods and techniques for analyzing scientific data, including: Interval estimation and Methods for analyzinghypothesis testing of means time series data Spatial statistics Multivariate analysis Discrete distributions Experimental design Most statistical models are introduced by concept and application, given as equations, and then accompanied by heuristic justification rather than a formal proof. Data analysis, model building, and statistical inference are stressed throughout, and readers are encouraged to collect their own data to incorporate into the exercises at the end of each chapter. Most data sets, graphs, and analyses are computed using R, but can be worked with using any statistical computing software. A related website features additional data sets, answers to selected exercises, and R code for the book's examples. Statistics for Earth and Environmental Scientists is an excellent book for courses on quantitative methods in geology, geography, natural resources, and environmental sciences at the upper-undergraduate and graduate levels. It is also a valuable reference for earth scientists, geologists, hydrologists, and environmental statisticians who collect and analyze data in their everyday work.

This book is intended to provide the applied researcher with the capacity to perform statistical analyses with SAS software without wading through pages of technical documentation. The researcher is provided with the necessary SAS statements to run programs for most of the commonly used statistics, explanations of the computer output, interpretations of results, and examples of how to construct tables and write up results for reports and journal articles.

Полный вариант заголовка: «Concerning the Earth in our solar system which are called planets and concerning the Earths in the starry heavens together with an account of their inhabitants and also of the spirits and angels there from what hath been seen and heard : Originally published in 1758 / Translated from the Latin of Emanuel Swedenborg».

Полный вариант заголовка: «Tales round a winter hearth : Vol. 1 : in 2 volumes / by Jane and Anna Maria Porter».

Полный вариант заголовка: «Tales round a winter hearth : Vol. 2 : in 2 volumes / by Jane and Anna Maria Porter».

Раскрыты основополагающие принципы и сущность статистики туризма. Детально рассмотрены предмет, задачи и система показателей статистики туризма, методология статистической оценки и анализ развития международного и внутреннего туризма, а также современные направления развития статистики туризма в мире и России. Соответствует Федеральному государственному образовательному стандарту высшего профессионального образования третьего поколения. Для студентов бакалавриата, магистратуры, аспирантов, преподавателей высших учебных заведений, слушателей системы послевузовского образования, а также бухгалтеров, аудиторов, экономистов, менеджеров предприятий туристской индустрии.