Error And The Growth Of Experimental Knowledge (Science And Its Conceptual Foundations Series)

Features of Error and the Growth of Experimental Knowledge (Science and Its Conceptual Foundations series)

We may learn from our mistakes but Deborah Mayo argues that where experimental knowledge is concerned we havent begun to learn enough Error and the Growth of Experimental Knowledge launches a vigorous critique of the subjective Bayesian view of statistical inference and proposes Mayos own errorstatistical approach as a more robust framework for the epistemology of experiment Mayo genuinely addresses the needs of researchers who work with statistical analysis and simultaneously engages the basic philosophical problems of objectivity and rationalityMayo has long argued for an account of learning from error that goes far beyond detecting logical inconsistencies In this book she presents her complete program for how we learn about the world by being shrewd inquisitors of error white gloves off Her tough practical approach will be important to philosophers historians and sociologists of science and will be welcomed by researchers in the physical biological and social sciences whose work depends upon statistical analysis