Peirce And Fisher on the Place of Probability in Abductive Inference
In his analysis of inference into three types, deduction, induction, and abduction, C. S. Peirce maintains that probability plays an essential role in the first two, but not in the third. For a deductive argument, probability tells us the frequency with which the conclusion will hold given the premises; for an inductive argument, probability tells us the frequency with which the argument will hold true. However, probability has no role to play in abduction because there is, in Peirce's view, no
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Epidemiological Thinking For Non-Specialists, Fall 2007
Introduction to methods and problems in research and applications where quantitative data is analyzed to reconstruct possible pathways of development of behaviors and diseases. Special attention given to social inequalities, changes over the life course, heterogeneous pathways, and controversies with implications for policy and practice. Case studies and course projects are shaped to accommodate students with interests in fields related to health, gerontology, education, psychology, sociology, a
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Introduction to Applied Statistics, Summer 2003
This course provides graduate students in the sciences with an intensive introduction to applied statistics. Topics include descriptive statistics, probability, non-parametric methods, estimation methods, hypothesis testing, correlation and linear regression, simulation, and robustness considerations. Calculations will be done using handheld calculators and the Minitab Statistical Computer Software.
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Statistics - an intuitive introduction : standard deviation
A standard way of measuring statistical variability: standard deviation and the associated concepts of variance and degrees of freedom.
Author(s): Field Richard Dr;Horton J.,C. Dr

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15.075 Applied Statistics (MIT)
This course is an introduction to applied statistics and data analysis. Topics include collecting and exploring data, basic inference, simple and multiple linear regression, analysis of variance, nonparametric methods, and statistical computing. It is not a course in mathematical statistics, but provides a balance between statistical theory and application. Prerequisites are calculus, probability, and linear algebra. We would like to acknowledge the contributions that Prof. Roy Welsch (MIT), Pro
Author(s): Newton, Elizabeth

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Seymour Hersh: Mario Savio Memorial Lecture
One of America's premier investigative journalists, Seymour Hersh shocked the world with his expose of the military's treatment of prisoners at Abu Ghraib. His revelation of the My Lai massacre and its cover-up during the Vietnam War won the Pulitzer Prize for international reporting. He writes regularly for The New Yorker on military and security matters and is the author of many books. The 9th Annual Mario Savio Memorial Lecture & Young Activist Award is presented annually to honor the memory
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2.57 Nano-to-Macro Transport Processes (MIT)
This course provides parallel treatments of photons, electrons, phonons, and molecules as energy carriers, aiming at fundamental understanding and descriptive tools for energy and heat transport processes from nanoscale continuously to macroscale. Topics include the energy levels, the statistical behavior and internal energy, energy transport in the forms of waves and particles, scattering and heat generation processes, Boltzmann equation and derivation of classical laws, deviation from classica
Author(s): Chen, Gang

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6.041 Probabilistic Systems Analysis and Applied Probability (MIT)
This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.
Author(s): Bertsekas, Dimitri,Tsitsiklis, John,Médard, Murie

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20.109 Laboratory Fundamentals in Biological Engineering (MIT)
This course introduces experimental biochemical and molecular techniques from a quantitative engineering perspective. Rigorous quantitative data collection, statistical analysis, and conceptual understanding of instrumentation design and application form the underpinnings of this course. The four discovery based modules include DNA Engineering, Protein Engineering, Systems Engineering, and Biomaterials Engineering. Additional information is available on the course Wiki (hosted on OpenWetWare.) T
Author(s): Engelward, Bevin,Endy, Drew,Kuldell, Natalie,Lerne

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OECD Factblog
The OECD Factblog aims to present the work of the OECD in charts and graphs. It is a useful starting point for finding out about recent OECD publications and statistical datasets. It is also very good at highlighting OECD data relating to current news stories such as economic crises, recessions, technology and employment. The site also links to Twitter channels, blogs and social media sites maintained by the OECD. Copyright and technical information is displayed on the website.
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Armed men seize two Crimea airports, Ukraine blames Russian forces
Subscribe: http://smarturl.it/reuterssubscribe More Breaking News: http://smarturl.it/BreakingNews A group of armed men in military uniform takes control of two airports in the Crimean region, a move Ukraine's government calls an invasion. Sarah Toms reports. Reuters tells the world's stories like no one else. As the largest international multimedia news provider, Reuters provides coverage around the globe and across topics including business, financial, national, and international news. For
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8.044 Statistical Physics I (MIT)
This course offers an introduction to probability, statistical mechanics, and thermodynamics. Numerous examples are used to illustrate a wide variety of physical phenomena such as magnetism, polyatomic gases, thermal radiation, electrons in solids, and noise in electronic devices.
Author(s): Lee, Young

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5.72 Statistical Mechanics (MIT)
This course discusses the principles and methods of statistical mechanics. Topics covered include classical and quantum statistics, grand ensembles, fluctuations, molecular distribution functions, other concepts in equilibrium statistical mechanics, and topics in thermodynamics and statistical mechanics of irreversible processes.
Author(s): Cao, Jianshu

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Biodiversity Consortium : Measuring Ecological Diversity 3 : Measuring Abundance and Diversity
This package looks at how you measure ecological diversity at the regional level, and tackles more general questions relatinv to the various diversity indices and abundance models available. This package looks at species richness, relative abundance plots, diversity indices as well as covering such issues as sampling effort and the practical implications of using these statistical tests in applied ecology.
Author(s): Biodiversity Consortium / David Raffaelli and John

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Biodiversity Consortium_KrugerWorld_ORP_1_raw_data
Raw data for a mammalian census of Kruger National Park, separated into habitat. Data can be uploaded to excel for statistical analysis. Also contains background information on biodiversity indices and models. Web pages which should run on any pc / mac / VLE with javascript enabled
Author(s): Biodiversity Consortium

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8.08 Statistical Physics II (MIT)
This course covers probability distributions for classical and quantum systems. Topics include: Microcanonical, canonical, and grand canonical partition-functions and associated thermodynamic potentials. Also discussed are conditions of thermodynamic equilibrium for homogenous and heterogenous systems. The course follows 8.044, Statistical Physics I, and is second in this series of undergraduate Statistical Physics courses.
Author(s): Wen, Xiao-Gang

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Statistics - an intuitive introduction : central tendency
Statistical data have a tendency to cluster around some central point. How do we determine this point? Is there just one way of doing it or more than one?
Author(s): Field Richard Dr;Horton J.,C. Dr

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Apple

pdfCompilation of seasonal recipes by Bio Austria (Austrian organization of organic farmers) provided by www.gutessen.at
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Biometrics
This text manual introduces statistical analysis and its underlying philosophy, enabling students to understand how to describe the confidence they have in their analysis. Statistical analysis is one of the most widely used, and abused, techniques in the biological sciences. Statistics are ostensibly used to allow an investigator to be objective. That is, the researcher uses statistical tests to determine whether or not his/her hypothesis is supported by the data collected. Unfortunately, the
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Research and Data Analysis in Psychology Fall 2008
The course covers methods in psychological research emphasizing research design and statistics. Areas covered in research design are measurement and sampling, correlational research and experimental design. Statistical methods include t-tests, analysis of variance, correlation and regression, chi-square and monte-carlo simulations. The lecture will illustrate the importance of research design and statistical reasoning in psychology and provide the theoretical background for each of the statistic
Author(s): Fredric Theunissen

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