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Mathematical statistics --- Science --- Statistique mathématique --- Sciences --- Experiments --- Expériences --- Statistique mathématique --- Expériences --- Science - Experiments

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This novel book bridges the gap between the energetic and species approaches to studying food webs, addressing many important topics in ecology. Species, matter, and energy are common features of all ecological systems. Through the lens of complex adaptive systems thinking, the authors explore how the inextricable relationship between species, matter, and energy can explain how systems are structured and how they persist in real and model systems. Food webs are viewed as open anddynamic systems. The central theme of the book is that the basis of ecosystem persistence and stability rests on the

Coral reef ecology. --- Food chains (Ecology). --- Science -- Experiments. --- Science -- Study and teaching. --- General ecology and biosociology --- Food chains (Ecology) --- Ecology.

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"This book addresses the need for scientists to understand the framework and approach in large science projects, both from the technical project management side as well as the sociology and governance of large science collaborations"--

Research --- Group work in research. --- Research teams. --- SCIENCE / Experiments & Projects --- SCIENCE / Research & Methodology --- BUSINESS & ECONOMICS / Project Management --- Management.

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What makes a good experiment? Although experimental evidence plays an essential role in science, as Franklin argues, there is no algorithm or simple set of criteria for ranking or evaluating good experiments, and therefore no definitive answer to the question. Experiments can, in fact, be good in any number of ways: conceptually good, methodologically good, technically good, and pedagogically important. And perfection is not a requirement: even experiments with incorrect results can be good, though they must, he argues, be methodologically good, providing good reasons for belief in their results. What Makes a Good Experiment? revisits the important question Franklin posed in his 1981 article of the same title in BJPS, when it was generally believed that the only significant role of experiment in science was to test theories. But experiments can actually play a lot of different roles in science, as he explains--they can, for example, investigate a subject for which a theory does not exist, help to articulate an existing theory, call for a new theory, or correct incorrect or misinterpreted results. This book provides details of good experiments, with examples from physics and biology, illustrating the various ways they can be good and the different roles they can play.

Experimental design. --- Science --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Experiments --- Methodology --- Experimental design --- Science - Experiments --- Science - Methodology

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Toegepaste statistiek --- 311.1 --- 519.2 --- Experimental designs --- 51-7 --- 519.242 --- #SBIB:303H522 --- 519.242 Experimental design. Optimal designs. Block designs --- Experimental design. Optimal designs. Block designs --- 51-7 Mathematical studies and methods in other sciences. Scientific mathematics. Actuarial mathematics. Biometrics. Econometrics etc. --- Mathematical studies and methods in other sciences. Scientific mathematics. Actuarial mathematics. Biometrics. Econometrics etc. --- Methoden sociale wetenschappen: handboeken statistische analyse --- Science --- Experimental design --- Mathematical statistics --- Experiments --- Methodology --- Science - Experiments - Methodology --- Science - Experiments