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Didactics of mathematics --- Statistical science --- Mathematical statistics --- 519.2 --- -Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Probability. Mathematical statistics --- Addresses, essays, lectures --- Statistical methods --- Mathematical statistics. --- -Probability. Mathematical statistics --- 519.2 Probability. Mathematical statistics --- -519.2 Probability. Mathematical statistics --- Mathematics --- Statistique mathématique --- Statistique --- -Addresses, essays, lectures
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Mathematical statistics --- 519.22 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical theory. Statistical models. Mathematical statistics in general --- Statistical methods --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general
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Qualitative methods in social research --- Social psychology --- Entretiens (Sociologie) --- Interviewing in sociology. --- Social perception. --- Social surveys --- Psychological aspects. --- Interviewing in sociology --- Social perception --- Perception sociale --- Enquêtes sociales --- Psychological aspects --- Aspect psychologique --- #SBIB:303H32 --- #SBIB:309H517 --- Cognition, Social --- Interpersonal perception --- Social cognition --- Interpersonal relations --- Perception --- Social cognitive theory --- Sociology --- Community surveys --- Surveys, Social --- Social sciences --- Surveys --- Waarneming en participerende waarneming, gecontroleerde observatie, groepsdiscussie (vragenlijsten, interviews, experimenten) --- Verbale communicatie: sociale psychologie van de taal en de interactie, psycholinguistiek --- Methodology --- Research
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Didactics of mathematics --- Statistical science --- Mathematical statistics --- Statistique mathématique --- 519.2 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Probability. Mathematical statistics --- Statistical methods --- 519.2 Probability. Mathematical statistics --- Statistique mathématique
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Statistical science --- Mathematical statistics --- Statistics --- Social Sciences --- Social sciences --- Statistique --- Sciences sociales --- Dictionaries --- Statistical methods --- Dictionnaires anglais --- Méthodes statistiques --- dictionaries --- 519.2 <031> --- -Statistics --- -AA / International- internationaal --- 300 --- Statistical analysis --- Statistical data --- Mathematics --- Econometrics --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Probability. Mathematical statistics--Encyclopedieën. Lexica --- -Dictionaries --- Algemene statistische naslagwerken. --- Dictionaries. --- 519.2 <031> Probability. Mathematical statistics--Encyclopedieën. Lexica --- Méthodes statistiques --- AA / International- internationaal --- Statistical methods&delete& --- Algemene statistische naslagwerken --- Statistics - dictionaries --- Social sciences - Statistical methods - Dictionaries
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Social sciences --- Mathematical statistics. --- Statistical methods. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods --- Estadística matemàtica --- Ciències socials --- Homenatges --- Civilització --- Anàlisi transcultural --- Comunicació en ciències socials --- Ciències de l'educació --- Civisme --- Conducta (Psicologia) --- Conservadorisme --- Criminologia --- Demografia --- Dret --- Ecologia humana --- Economia --- Equilibri social --- Fotografia en les ciències socials --- Funcionalisme (Ciències socials) --- Història --- Paradigmes (Ciències socials) --- Pluralisme cultural --- Política --- Sociologia --- Teoria econòmica --- Didàctica de les ciències socials --- Ensenyament de les ciències socials --- Estadística descriptiva --- Inferència estadística --- Matemàtica estadística --- Mètodes estadístics --- Estadística --- Anàlisi d'error (Matemàtica) --- Anàlisi de regressió --- Anàlisi de sèries temporals --- Anàlisi de variància --- Anàlisi multivariable --- Anàlisi seqüencial --- Astronomia estadística --- Correlació (Estadística) --- Dependència (Estadística) --- Estadística no paramètrica --- Estadística robusta --- Física estadística --- Mètode dels moments (Estadística) --- Models lineals (Estadística) --- Models no lineals (Estadística) --- Teoria de l'estimació --- Teoria de la predicció --- Tests d'hipòtesi (Estadística) --- Biometria --- Mostreig (Estadística)
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Comparing and contrasting the reality of subjectivity in the work of history's great scientists and the modern Bayesian approach to statistical analysisScientists and researchers are taught to analyze their data from an objective point of view, allowing the data to speak for themselves rather than assigning them meaning based on expectations or opinions. But scientists have never behaved fully objectively. Throughout history, some of our greatest scientific minds have relied on intuition, hunches, and personal beliefs to make sense of empirical data-and these subjective influences have often aided in humanity's greatest scientific achievements. The authors argue that subjectivity has not only played a significant role in the advancement of science, but that science will advance more rapidly if the modern methods of Bayesian statistical analysis replace some of the classical twentieth-century methods that have traditionally been taught.To accomplish this goal, the authors examine the lives and work of history's great scientists and show that even the most successful have sometimes misrepresented findings or been influenced by their own preconceived notions of religion, metaphysics, and the occult, or the personal beliefs of their mentors. Contrary to popular belief, our greatest scientific thinkers approached their data with a combination of subjectivity and empiricism, and thus informally achieved what is more formally accomplished by the modern Bayesian approach to data analysis.Yet we are still taught that science is purely objective. This innovative book dispels that myth using historical accounts and biographical sketches of more than a dozen great scientists, including Aristotle, Galileo Galilei, Johannes Kepler, William Harvey, Sir Isaac Newton, Antoine Levoisier, Alexander von Humboldt, Michael Faraday, Charles Darwin, Louis Pasteur, Gregor Mendel, Sigmund Freud, Marie Curie, Robert Millikan, Albert Einstein, Sir Cyril Burt, and Margaret Mead. Also include
Bayesian statistical decision theory. --- Research --- Subjectivity. --- Methodology.
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