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An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses, critically evaluate the design of experiments and proceed to more advanced material. Taking a straightforward conceptual approach, it is specifically designed to foster understanding, demystify difficult concepts and encourage the unsure. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. Examples of tests included throughout are kept simple by using small data sets. In addition, end-of-chapter exercises, new to this edition, allow self-testing. Handy diagnostic tables help students choose the right test for their work and remain a useful refresher tool for postgraduates.

Life sciences --- Statistics --- Sciences de la vie --- Statistique --- Statistical methods --- Méthodes statistiques --- Statistiek (theorie) --- Life sciences - Statistical methods

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Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis : Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process ; Introduces terminology used in many applications such as the interpretation of assay design and validation as well as "fit for purpose" procedures including real world examples ; Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities ; Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation ; Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions.

Diagnosis, Laboratory --- Statistics --- Diagnostic biologique --- Physique --- Chimie --- Sciences de la vie --- Statistical methods. --- Méthodes statistiques. --- Mesure

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This book comprises a first survey of the Collaborative Research Center SFB-TRR 141 ‘Biological Design and Integrative Structures – Analysis, Simulation and Implementation in Architecture’, funded by the Deutsche Forschungsgemeinschaft since October 2014. The SFB-TRR 141 provides a collaborative framework for architects and engineers from the University of Stuttgart, biologists and physicists from the University of Freiburg and geoscientists and evolutionary biologists from the University of Tübingen. The programm is conceptualized as a dialogue between the disciplines and is based on the belief that that biomimetic research has the potential to lead everyone involved to new findings far beyond his individual reach. During the last few decades, computational methods have been introduced into all fields of science and technology. In architecture, they enable the geometric differentiation of building components and allow the fabrication of porous or fibre-based materials with locally adjusted physical and chemical properties. Recent developments in simulation technologies focus on multi-scale models and the interplay of mechanical phenomena at various hierarchical levels. In the natural sciences, a multitude of quantitative methods covering diverse hierarchical levels have been introduced. These advances in computational methods have opened a new era in biomimetics: local differentiation at various scales, the main feature of natural constructions, can for the first time not only be analysed, but to a certain extent also be transferred to building construction. Computational methodologies enable the direct exchange of information between fields of science that, until now, have been widely separated. As a result they lead to a new approach to biomimetic research, which, hopefully, contributes to a more sustainable development in architecture and building construction. .

Biology --- Engineering sciences. Technology --- Architecture --- architecture [discipline] --- engineering --- biologie --- duurzame ontwikkeling --- Biomimicry --- Architecture and biology --- Organic architecture --- Nature (Aesthetics) --- Life sciences --- Bionique --- Architecture et biologie --- Architecture organique --- Nature (Esthétique) --- Sciences de la vie --- Environmental aspects --- Aspect de l'environnement

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The objective of FACETS is to provide a high-quality, affordable Canadian open access option that best serves the publishing and dissemination needs of Canadian as well as international researchers. FACETS encompasses a broad range of scientific and multidisciplinary areas and publishes technically sound research that demonstrates a contribution to advancing knowledge. The multidisciplinary nature of FACETS provides a new vehicle to promote and showcase research in the global community.

rigorous review --- multidisciplinary --- interdisciplinary --- science --- integrative --- Canadian --- canadian --- Science --- Biology --- Life sciences --- Medical sciences --- Earth sciences --- Environmental sciences --- Engineering --- Physical sciences --- Technology --- Mathematics --- Biologie --- Sciences de la vie --- Sciences de la santé --- Sciences de la terre --- Sciences de l'environnement --- Ingénierie --- Sciences physiques --- Sciences --- Biology. --- Earth sciences. --- Engineering. --- Environmental sciences. --- Life sciences. --- Mathematics. --- Medical sciences. --- Physical sciences. --- Science. --- Technology. --- Applied science --- Arts, Useful --- Science, Applied --- Useful arts --- Industrial arts --- Material culture --- Natural science --- Natural sciences --- Science of science --- Basic medical sciences --- Basic sciences, Medical --- Biomedical sciences --- Health sciences --- Preclinical sciences --- Sciences, Medical --- Medicine --- Math --- Biosciences --- Sciences, Life --- Environmental science --- Construction --- Geosciences --- Life (Biology) --- Natural history