Forest Analytics with R: An Introduction

Forest Analytics with R combines practical, down-to-earth forestry data analysis and solutions to real forest management challenges with state-of-the-art statistical and data-handling functionality. The authors adopt a problem-driven approach, in which statistical and mathematical tools are introduced in the context of the forestry problem that they can help to resolve. All the tools are introduced in the context of real forestry datasets, which provide compelling examples of practical applications.

 

"R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of platforms ..." (Google)

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Statistical Treatment of Experimental Data

Even with a limited mathematics background, readers can understand what statistical methods are and how they may be used to obtain the best possible results from experimental measurements and data. The author describes the physical bases on which statistical theories are developed, and derives from them useful mathematical results and formulas for the evaluation and analysis of experimental data. Special mathematical techniques are explained as they are needed.

Risk Management and Governance: Concepts, Guidelines and Applications

Risk is a popular topic in many sciences - in natural, medical, statistical, engineering, social, economic and legal disciplines. Yet, no single discipline can grasp the full meaning of risk. Investigating risk requires a multidisciplinary approach. The authors, coming from two very different disciplinary traditions, meet this challenge by building bridges between the engineering, the statistical and the social science perspectives.

Reading Between the Numbers: Statistical Thinking in Everyday Life

This quirky, fast-paced excursion through the world of statistics brings basic statistical concepts down to earth for general readers by showing how statistics are applied in our everyday lives. Drawing on such diverse examples as how pills are manufactured, elections are forecast, and chess tournaments are structured, psychologist Joseph Tal familiarizes readers with variables, means, medians, scales of measurement, sampling, estimating, and other stock-in-trade tools of the statistician.

 

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The Dictionary of Statistics

If you work with data and need easy access to clear, reliable definitions and explanations of modern statistical and statistics-related concepts, then look no further than this dictionary. Nearly 4000 terms are defined, covering medical, survey, theoretical, and applied statistics, including computational and graphical aspects. Entries are pred for standard and specialized statistical software. In addition, short biographies of over 100 important statisticians are given.