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   <subfield code="a">Geisser, Seymour</subfield>
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   <subfield code="a">Modes of parametric statistical inference</subfield>
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   <subfield code="c">Seymour Geisser ; With the assistance of Wesley Johnson</subfield>
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   <subfield code="a">Hoboken, N.J.</subfield>
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   <subfield code="c">2006</subfield>
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   <subfield code="a">This publication examines the distinct philosophical foundations of different statistical modes of parametric inference. Unlike many other texts that focus on methodology and applications, this book focuses on a rather unique combination of theoretical and foundational aspects that underlie the field of statistical inference. Readers gain a deeper understanding of the evolution and underlying logic of each mode as well as each mode's strengths and weaknesses. The book begins with fascinating highlights from the history of statistical inference. Readers are given historical examples of statistical reasoning used to address practical problems that arose throughout the centuries. Next, the book goes on to scrutinize four major modes of statistical inference: frequentist, likelihood, fiducial, bayesian.</subfield>
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   <subfield code="a">Probabilities,Mathematical statistics,Distribution (Probability theory)</subfield>
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   <subfield code="a">Trung tâm Học liệu Trường Đại học Cần Thơ</subfield>
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