Statistical theory data analysis (21 Ergebnisse)

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Taschenbuch. Zustand: Neu. Sensor-based Modeling and Monitoring of Chemical Mechanical Polishing | Analysis of Experimental Sensor Data Integrating Statistical Time Series Analysis and Nonlinear Dynamics (Chaos Theory) Paradigms | Prahalada Rao | Taschenbuch | Kartoniert | Englisch | 2008 | VDM Verlag Dr. Müller | EAN 9783639035643 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.…

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paperback. Zustand: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2013-03-01 Publisher: China Forestry Publishing House Statistics : Theory and Methods of statistical data analysis . the content from the original ten chapters increased to 13 or chapter . an increase of parameter estimation . hypothesis testing. analysis of variance and panel data analysis. in terms of content covered by descriptive statistics. inferential statistics . multivariate statistics to economic management of some commonly used statistical methods . making the c.Four Satisfaction guaranteed,or money back.…

Hardcover. Zustand: New. Language:Chinese.HardCover. Pub Date: 2025-11 Pages: 230 Publisher: 1 Science/Longmen Bookstore This book introduces various aspects of taxi trajectory data. including its theoretical foundation. data processing. analysis of the spatiotemporal distribution characteristics of taxis. travel behavior modeling and prediction. supply and demand balance optimization. and research on traffic network stability. Regarding the optimization and regulation of multi-modal travel such as taxis and subways.…

Hardcover. Zustand: New. HardCover. Pub Date:2016-05-01 Pages:338 Language: Publisher: Chinese Defense Industry Press electronic equipment test data of the non statistical analysis theory and application of the electronic equipment test data uncertainty mathematical description. analysis and processing method of electronic equipment test data statistical analysis theory and technology theoretically rise.…

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First 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 control 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 treatment of some disease may wish to stop the investigation if at some stage a convincing difference can already be demonstrated using the available data. (3) A manufacturer carrying out inspection of batches of some product may be able to pass most of his batches with little inspection but may carryout further inspection of batches of doubtful quality. A given degree of discrimination between good and bad batches could be achieved in various ways, but a sequential scheme will often be more economical than one in which a sample of constant size is taken from each batch "The most appropriate design and method of analysis of a sequential investigation depend on the purpose of the investigation. The statistical formulation of that purpose may take one of a number of forms, usually either estimation of some quantity to a given degree of precision or testing a hypothesis with given size and given power against a given alternative hypothesis. Economy in number of observations is typically important for sequential design" (International Encyclopedia of the Social Sciences). "The problem of sequential analysis arose in the Statistical Research Group of Columbia University in connection with some comments made by Captain G. L. Schuyler of the Bureau of Ordnance, Navy Department. Milton Friedman and W. Allen Wallis recognized the great potentialities and the far-reaching consequences that sequential analysis might have for the further development of theoretical statistics. In particular, they conjectured that a sequential test procedure might be constructed which would control the possible errors committed by wrong decisions exactly to the same extent as the best current procedure based on a predetermined number of observations, and at the same time would require, on the average, a substantially smaller number of observations than the fixed number of observations needed for the current procedure. Friedman and Wallis also exhibited a few examples of sequential modifications of curre.…

Hardcover. Zustand: Very Good. 1st Edition. 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 (SRG) in response to the demand for more efficient methods of industrial quality control during World War II. It was published four years later in his well-known book of the same title. "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" (DSB). Some sections of the 'Applications' state 'revised', indicating that they are later issues. Both parts are very rare. No copies are listed on COPAC and none have appeared at auction. Theory: 4to, pp. [iii], iv-ix, [1], 179. Reproduced typescript. Original dark green printed wrappers (spine rubbed with partial loss of lettering, signs of tape removal from spine, corners a bit worn). Applications: Seven sections plus Appendices, 4to, pp. 17, 116, 57, 25, 18, 39, 44, 41, reproduced typescript with coloured printed card titles for each part. Bound in the original ring binder with printed label on front cover and spine.…

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a framework for real time controlof the Chemical Mechanical Planarization (CMP)process based on combining nonlinear dynamicsprinciples with statistical process monitoringapproaches. CMP has a directbearing on the computational speed and dimensionalcharacteristics of solid state devices. The challengein CMP may be narrowed to domains envelopingproductivity, measured in terms of material removalrate (MRR), and quality which is usually specified interms of surface roughness - Ra, within wafernon-uniformity (WIWNU), defect rate, etc. In thiswork, experimental investigations of CMP are executedwith the aid of sensors. The analysis of the datareveals the presence of pronounced stochastic-dynamiccharacteristics. As a result, we derive a processcontrol method integrating statistical time seriesanalysis and nonlinear dynamics which captures ~ 80%(linear R-sq) of the variation in MRR. In this mannera novel paradigm for effective process control in CMPhas been presented.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Mathematicalstatistics is the study of statistics from a mathematical standpointusing probability theory as well as other branches of mathematics suchas linear algebra and analysis. The term 'mathematical statistics' isclosely related to the term 'statistical theory' but also embracesmodelling for actuarial science and non-statistical probability theoryparticularly in Scandinavia. Statistics deals with gaining informationfrom data. In practice, data often contain some randomness oruncertainty. Statistics handles such data using methods of probabilitytheory.…