Sequential analysis von abraham wald (12 Ergebnisse)
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Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Verlag: Dover Publications, Inc.
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In den WarenkorbPaperback. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
- Softcover
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Zustand: New. pp. 224.
Weitere BilderVerlag: John Wiley & Sons, Inc.
- Hardcover
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In den WarenkorbHardcover. Zustand: Fair. No Jacket. Ex-Library copy with typical library marks and stamps. Dust jacket missing. Cover and binding are worn but intact. A reading copy in fair condition. Binding is sound. Secure packaging for safe delivery.
Verlag: John Wiley & Sons, Inc.
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In den WarenkorbZustand: Good. Good condition. No Dust Jacket (Sequential Analysis, Mathematical Computing, Mathematical Statistics) A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.
- Softcover
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Paperback. Zustand: Brand New. 224 pages. 8.25x5.25x0.25 inches. In Stock.
Verlag: JOHN WILEY & SONS INC., 1966
- Hardcover
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In den WarenkorbCouverture rigide. Zustand: bon. R240095947: 1966. In-8. Relié. Bon état, Couv. convenable, Dos satisfaisant, Intérieur frais. XII + 212 pages - ouvrage en anglais - quelques figures en noir et blanc dans le texte. . . . Classification Dewey : 420-Langue anglaise. Anglo-saxon.
Weitere BilderVerlag: New York & London John Wiley & Sons Inc.; Chapman & Hall Ltd, 1947
- Hardcover
- Erstausgabe
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In den WarenkorbFirst edition; 8vo; diagrams within the text, note in blue ink on front free endpaper, contents faintly toned in the margins; original blue cloth, titles to spine and upper board gilt, minor horizontal production flaw to the cloth, lightly rubbed along the edges, a very good copy in the rubbed and partially toned jacket with a f…ew small chips; 212pp. First edition of a revolutionary work in mathematics and decision theory. Uncommon in the dust jacket. Abraham Wald (1902-1950), a pioneer in the field of operations research, earned his PhD in mathematics at the University of Virginia. He emigrated to the US after the annexation of Austria and worked in econometrics, joining the Columbia faculty in 1941. Wald studied wartime statistics problems as a member of the Statistical Research Group, making the now-famous, counterintuitive determination that it was the damaged parts of military aircraft which returned safely that did not need extra shielding. Wald is considered the founder of the field of sequential analysis, in which sample sizes in statistical analysis are not pre-determined, but data is analyzed as it is collected, lowering the time and financial costs of research. He focused on sequential analysis as a tool for industrial quality control, but it has found uses in many other fields, most notably pharmaceutical clinical trials.
- Hardcover
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In den WarenkorbNew York, John Wiley & Sons, (1947). Original cloth with gilt spine. No dust jacket. XII,212 pp. Text illustrated. First edition. Wald is considered the founder of statistical sequential analysis and the theory of decision functions. DSB XIV:121.
Weitere BilderVerlag: National Defense Research Committee, Washington, 1944
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In den WarenkorbFirst edition. THE INVENTION OF SEQUENTIAL ANALYSIS - THE ORIGINAL RESTRICTED REPORTS. First edition, very rare, of Wald's seminal invention of 'Sequential analysis', developed while he was in charge of Columbia University's Statistical Research Group in response to the demand for more efficient methods of industrial quality con…trol during World War II. It is here offered in the original 'restricted' reports; it was published four years later in his well-known book of the same title. "Wald's second major achievement in mathematical statistics is sequential analysis. The notion that in some sense it is economical to observe and analyze data sequentially, rather than to observe and analyze a single sample of predetermined fixed size, was not a new one. Intuitive support for this notion is immediate; if the evidence shown in sequentially unfolding data is sharply one-sided, it seems reasonable to believe that the inquiry can be terminated early, with lengthier inquiries reserved for those situations in which the issue at hand appears, via the sequentially unfolding data, to be in greater doubt. This notion and the partial mathematical formulation of it were to be found in the statistical literature; among those who dealt with it before Wald was Walter Bartky of Chicago, and among Wald's contemporaries, George Barnard, working in England. But again it was Wald, in 1943, who first formulated mathematically and solved quite generally the problem of sequential tests of statistical hypotheses. He introduced the particular method of the sequential probability ratio test and, with Wolfowitz (1948), showed its optimal properties. He found operating characteristic and average sample number functions; he introduced, if he did not completely solve, the problem of sequential tests of composite hypotheses (utilizing weight functions); and he began vital discussions of such basic topics as multivalued decisions and optimal sequential estimation. All this, plus many special problems, were gathered together in Sequential Analysis (1947), a book surprisingly easy to read, less formal and more elementary in structure than his work on decision functions" (DSB). No copies listed on ABPC/RBH. "Sequential analysis is the branch of statistics concerned with investigations in which the decision whether or not to stop at any stage depends on the observations previously made. The motivation for most sequential investigations is that when the ends achieved are measured against the costs incurred (including the cost of making observations), sequential designs are typically more efficient than non-sequential designs . "The term 'sequential' is occasionally extended to cover also investigations in which various aspects of the design may be changed according to the observations made. For example, preliminary experience in an experiment may suggest changes in the treatments being compared; in a social survey a small pilot survey may lead to modifications in the design of the main investigation . In a sequential investigation observations must be examined either one by one as they are collected or at certain stages during collection. A sequential procedure might be desirable for various reasons. The investigator might wish to have an up-to-date record at any stage, either for general information or because the appropriate sample size depends on quantities that he can estimate only from the data themselves. Alternatively, he may have no intrinsic interest in the intermediate results but may be able to achieve economy in sample size by taking them into account. Three examples will illustrate these points: (1) An investigator may wish to estimate to within 10 per cent the mean weekly expenditure on tobacco per household. In order to determine the sample size he would need an estimate of the variability of the expenditure from household to household, and this might be obtainable only from the survey itself. (2) A physician wishing to compare the effects of two drugs in the treatme.
