This textbook provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. The book is written terms of the analysis of four data sets, two from ecology and two from agriculture.
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Stochastic geometry: likelihood and computation
by Barndorff-Nielsen, O. E., (Ole E.), Kendall, W. S., van Lieshout, M. N. M., Séminaire Européen de Statistique on Stochastic Geometry, Theory, and Applications, Université Paul Sabatier)
fromMonographs on statistics and applied probability (Series)
0
Type: Book
Stochastic geometry concerns the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Mont…
Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This…
This text emphasizes intuitive understanding rather than an over-reliance on formulas. The focus is on data and graphical displays rather than the mathematical foundations of statistics, and students do not need knowledge of mathematics beyond simple algebra.
This is the fifth edition of a very successful textbook on clinical trials methodology, written by recognized leaders who have long and extensive experience in all areas of clinical trials. The three authors of the first four editions have been joined by two others who add great…
This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a…
This introductory textbook is designed for a one-semester course on queueing theory that does not require a course on stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound fo…
This expanded edition aims to provide biologists with sufficient grounding in statistical principles and methods to enable them to understand research reports in journals, decide on the most appropriate statistical tests for their own problems and finally to analyze and present …
Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. To extract signals from high-dimensional NGS data and make…
"Statistical methods are a key tool for all scientists working with data, but learning the basic mathematical skills can be one of the most challenging components of a biologists training. This accessible book provides a contemporary introduction to the classical techniques and …
With interest growing in areas of forestry, conservation and other natural sciences, the need to organize and tabulate large amounts of forestry and natural science information has become a necessary skill. Previous attempts of applying statistical methods to these areas tend to…
This book features 13 papers presented at the Fifth International Symposium on Recurrence Plots, held August 2013 in Chicago, IL. It examines recent applications and developments in recurrence plots and recurrence quantifi cation analysis (RQA) with special emphasis on biologica…
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Example-rich and experiment-driven, Genetic Analysis of Complex Traits Using SAS demonstrates how you can use SAS and SAS/Genetics to extract answers from your quantitative and molecular genetics data. The book guides you through the mix of genetic, statistical, and SAS skills t…
This textbook begins with statistics, presenting concepts and results from probability along the way. Hypothesis testing is introduced very early, and the motivation for several probability distributions comes from p-value computations. The book develops the students' practical …
Many research studies in the social and economic fields regard the collection and analysis of large amounts of data. These data sets vary in their nature and complexity, they may be one-off or repeated, they may be hierarchical, spatial or temporal. Examples include textual data…
