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Titlebook: Computing in Statistical Science through APL; Francis John Anscombe Book 1981 Springer-Verlag New York Inc. 1981 APL.Computing.Datenauswer

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发表于 2025-3-21 16:19:00 | 显示全部楼层 |阅读模式
书目名称Computing in Statistical Science through APL
编辑Francis John Anscombe
视频video
丛书名称Springer Series in Statistics
图书封面Titlebook: Computing in Statistical Science through APL;  Francis John Anscombe Book 1981 Springer-Verlag New York Inc. 1981 APL.Computing.Datenauswer
描述A t the terminal seated, the answering tone: pond and temple bell. ODAY as in the past, statistical method is profoundly affected by T resources for numerical calculation and visual display. The main line of development of statistical methodology during the first half of this century was conditioned by, and attuned to, the mechanical desk calculator. Now statisticians may use electronic computers of various kinds in various modes, and the character of statistical science has changed accordingly. Some, but not all, modes of modern computation have a flexibility and immediacy reminiscent of the desk calculator. They preserve the virtues of the desk calculator, while immensely exceeding its scope. Prominent among these is the computer language and conversational computing system known by the initials APL. This book is addressed to statisticians. Its first aim is to interest them in using APL in their work-for statistical analysis of data, for numerical support of theoretical studies, for simulation of random processes. In Part A the language is described and illustrated with short examples of statistical calculations. Part B, presenting some more extended examples of statistical analy
出版日期Book 1981
关键词APL; Computing; Datenauswertung; Forth; Statistik
版次1
doihttps://doi.org/10.1007/978-1-4613-9450-1
isbn_softcover978-1-4613-9452-5
isbn_ebook978-1-4613-9450-1Series ISSN 0172-7397 Series E-ISSN 2197-568X
issn_series 0172-7397
copyrightSpringer-Verlag New York Inc. 1981
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Originsctionaries say the word ought to be “algorism” and it means the Arabic decimal system of arithmetic, named after an Arabic mathematician of the ninth century A.D.; but with spelling and meaning just stated the word is widely used in computing circles.) A precise specification of an algorithm, especi
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Primitive Scalar Functionsgives instructions, and there is a display device permitting the user to see both what he has typed and what response the computer makes. Some terminals are indeed typewriters, and the input and the output appear typed on a roll of paper, which can be kept afterwards as a record of the proceedings.
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Defined Functionsted only once, that is usually the best mode of operation. But if the same, or similar, commands are to be executed repeatedly, or if they are not very simple and brief, it may be preferable to have them in the form of a stored program. For example, the numerical integration in line 21 of Figure A:6
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Time Series: Yale Enrolmentdents enrolled in the various schools and programs can be obtained for each academic year from 1796/97 onwards. The University was founded in 1701. For most years before 1796 the enrolment is not known directly, though Welch and Camp (1899) made estimates from the numbers of degrees awarded. For pre
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0172-7397 rces for numerical calculation and visual display. The main line of development of statistical methodology during the first half of this century was conditioned by, and attuned to, the mechanical desk calculator. Now statisticians may use electronic computers of various kinds in various modes, and t
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https://doi.org/10.1007/978-3-662-41926-7 computer is exercising a profound effect on the science of statistics, transforming not only methods of operation but also basic ideas and understanding and objectives. And the transforming is still far from complete.
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Il teatro, ovvero la scala di Giacobbe,kinds of data do not pose any special problem of understanding, and then nothing called statistical analysis is done. Other kinds of data seem to defy complete detailed explanation and understanding. They invite being thought of in terms of variability, randomness or noise, masking the relations or properties that we should like to examine.
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