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Doing Statistical Analysis looks at three kinds of statistical research questions – descriptive, associational and inferential – and shows students how to conduct statistical analyses and interpret the results.
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Doing Statistical Analysis looks at three kinds of statistical research questions – descriptive, associational and inferential – and shows students how to conduct statistical analyses and interpret the results.
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This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached maturity.
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This book covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers through bivariate correlation.
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David Albert’s 2000 book Time and Chance attempts to account for some of the most intractable problems in theoretical... Læs mere
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This text provides a first comprehensive introduction to probabilistic numerics, aimed at Masters' and PhD students, as well as postgraduate... Læs mere
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Compiled with method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis... Læs mere
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This monograph gives the first unified presentation of the asymptotic theory of compound renewal processes and generalizes many well-known limit theorems concerning random... Læs mere
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In discrete choice models the relationships between the independent variables and the choice probabilities are nonlinear, depending on both the value of the... Læs mere
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The Practice of Statistics is the most trusted program for AP (R) Statistics because it provides teachers and students with everything they need to be successful in the statistics course and on the AP (R) Exam.