강좌 소개

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data....

존스홉킨스대학교의 통계적 추론 학습자 리뷰 및 피드백

강좌 소개

최상위 리뷰

JA

AP

통계적 추론의 741개 리뷰 중 251~275

인기 온라인 강좌

인기 온라인 전문 분야

온라인 수료증

온라인 학위 프로그램

Coursera

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