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

@book{citeulike:1199692, abstract = {{<div>We may learn from our mistakes, but Deborah Mayo argues that, where experimental knowledge is concerned, we haven't begun to learn enough. <i>Error and the Growth of Experimental Knowledge</i> launches a vigorous critique of the subjective Bayesian view of statistical inference, and proposes Mayo's own error-statistical 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 rationality.<br><br>Mayo 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.<br><br></div>}}, author = {Mayo, Deborah G. }, citeulike-article-id = {1199692}, howpublished = {Paperback}, isbn = {0226511987}, keywords = {error, experiment, scientific\_method, scientific\_practice}, month = {August}, posted-at = {2007-03-31 14:17:36}, priority = {2}, publisher = {{University Of Chicago Press}}, title = {Error and the Growth of Experimental Knowledge (Science and Its Conceptual Foundations series)}, url = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20\&amp;path=ASIN/0226511987}, year = {1996} }

TY - BOOK ID - citeulike:1199692 L3 - citeulike-article-id:1199692 N2 - {<div>We may learn from our mistakes, but Deborah Mayo argues that, where experimental knowledge is concerned, we haven't begun to learn enough. <i>Error and the Growth of Experimental Knowledge</i> launches a vigorous critique of the subjective Bayesian view of statistical inference, and proposes Mayo's own error-statistical 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 rationality.<br><br>Mayo 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.<br><br></div>} SN - 0226511987 TI - Error and the Growth of Experimental Knowledge (Science and Its Conceptual Foundations series) PB - {University Of Chicago Press} KW - error KW - experiment KW - scientific_method KW - scientific_practice AU - Mayo, Deborah PY - 1996/08/15/ UR - http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&amp;path=ASIN/0226511987 ER -