Data Error
Data Error
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Data Reconciliation and Gross Error Detection $175 This book provides a systematic and comprehensive treatment of the variety of methods available for applying data reconciliation techniques. Data filtering, data compression and the impact of measurement selection on data reconciliation are also exhaustively explained. Data errors can cause big problems in any process plant or refinery. Process measurements can be correupted by power supply flucutations, network transmission and signla conversion noise, analog input filtering, changes in ambient conditions, instrument malfunctioning, miscalibration, and the wear and corrosion of sensors, among other factors. Here’s a book that helps you detect, analyze, solve, and avoid the data acquisition problems that can rob plants of peak performance. This indispensable volume provides crucial insights into data reconciliation and gorss error detection techniques that are essential fro optimal process control and information systems. This book is an invaluable tool for engineers and managers faced with the selection and implementation of data reconciliation software, or for those developing such software. For industrial personnel and students, Data Reconciliation and Gross Error Detection is the ultimate reference. |
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Measurement Error $134.95 The conference, 'Measurement Error: Econometrics and Practice' was recently hosted by Aston University and organised jointly by researchers from Aston University and Lund University to highlight the enormous problems caused by measurement error in Economic and Financial data which often go largely unnoticed. Thanks to the sponsorship from Eurostat, a number of distinguished researchers were invited to present keynote lectures. Professor Arnold Zellner from University of Chicago shared his knowledge on measurement error in general; Professor William Barnett from the University of Kansas gave a lecture on implications of measurement error on monetary policy, whilst Dennis Fixler shared his knowledge on how statistical agencies deal with measurement errors. This volume is the result of the selection of high-quality papers presented at the conference and is designed to draw attention to the enormous problem in econometrics of measurement error in data provided by the worlds leading statistical agencies; highlighting consequences of data error and offering solutions to deal with such problems. This volume should appeal to economists, financial analysts and practitioners interested in studying and solving economic problems and building econometric models in everyday operations. |
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Data Error (Album Version) $4.99 We believe it is important to preserve what makes music special, and make it easy to craft listening experiences. At MOG, browse millions songs and play them instantly. Or just turn on radio where you can stop and replay songs. You can also create playlists for any occasion, and even download songs to your mobile. We are dedicated to employing the cleanest but most powerful technology so you can enjoy music as much as ever. |
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Margins of Error $121 Enhance the quality of survey results by recognizing and reducing measurement errors. Margins of Error: A Study of Reliability in Survey Measurement demonstrates how and hwy identifying the presence and extent of measurement errors in survey data is essential for improving the overall collection and analysis of the data. The author outlines the consequences of ignoring survey measurement errors and also discusses ways to detect and estimate the impact of these errors. This book also provides recommendations of improving the quality of survey data. Logically organized and clearly written, this book: Deconstructs the data gathering process into six main elements of the response process: question adequacy, comprehension, accessibility, retrieval, motivation, and communication Provides an exhaustive review of valuable reliability estimation techniques that can be applied to survey data Identifies the types of questions and interviewer practices that are essential to the collection of reliable data Addresses hypotheses regarding which survey questions, sources of information, and questionnaire formats produce the most reliable data In conjunction with research data gathered on nearly 500 survey measures and the application of an empirical approach grounded in classical measurement theory, this book discusses the sources of measurement error and provides the tools necessary for improving survey data collection methods. Margins of Error enables statisticians and researchers in the fields of public opinion and survey research to design studies that can detect, estimate, and reduce measurement errors that may have previously gone undetected. This book also serves as a supplemental textbook for both undergraduate and graduate survey methodology courses. |
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Data Error (zero Data) $0.89 … |
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Data Error EP $1.59 … |
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CarMD 2100 Vehicle Health System and Diagnostic Code Reader for OBDII Vehicles $93.99 This product offers peace of mind for anyone who has ever worried about car maintenance and repairs. The easy-to-use device, which fits inside a purse or glove compartment, empowers drivers to monitor their vehicles health. The CarMD tool can be used to quick-check an unlimited number of vehicles. Within seconds, its color-coded (green, yellow, red) vehicle health monitor LED’s tell you if your ve… |
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Tripp Lite ISOBAR4ULTRA Isobar Ultra 4-Outlet Surge Protector (3330 Joules, 6ft Cord) $32.99 High-quality ponents near indestructible all-metal case and unique noise filtration systemRobust surge suppression circuits with sine-wave tracking offer extreme levels of protection against the heaviest surge conditions exceeding IEEE 587 category A & B specifications Reducing 6000V test surges to harmless levels under 35 voltsCombines large torroidal chokes ferrite rod-core inductors and HF/VHF … |
Aktakom Introduces Innovative Technology for Storing Sampled Data in Excel Format on SD Card
T&M Atlantic, distributer of the test and measurement equipment, today announced that for the first time on the market came such devices that could allow recording the measured data either into the inner memory with the further transfer to the PC or to the SD-card in real time in Excel format without the use of any additional software.
By bringing this ground breaking technology to the market, Aktakom is poised to become a leader in innovative nonelectrical quantities meters. To implement this technology Aktakom has developed a new series of data logger devices with the introduction of four new models: ATE-1033 Thermo-anemometer, ATE-5035 Temperature and humidity meter, ATE-2036 Multichannel thermometer and ATE-9538 Environment meter. It should also be mentioned that all 4 models of nonelectrical quantities meters with data transfer to the SD-card have built-in RS-232/USB interface that helps to transfer the data from the device during the measurement process right to the user’s PC.
These instruments has a wide range of applications: scientific research, plant/general maintenance, HVAC/R, transportation/automotive, cooling and reheating, serving areas, food service equipment and cold storage. More information can be found at www.tmatlantic.com
About T&M Atlantic.
www.tmatlantic.com is an online store that distributes oscilloscopes, anemometers, cable locators, clamp meters, digital multimeters, humidity meters, insulation testers, light meters, milliohm meters, RLC meters, sound level meters, tachometers, thermometers and soldering equipment to the laboratories, R&D centers, colleges, universities, tech companies, government contractors and to the general public. The site is secure and highly informative with a variety of educational videos and articles posted throughout the site. The majority of our products are sold under the AKTAKOM trade mark. We are also offering several other brands such as RIGOL, OWON, TRONEX and more.
Our Mission is to promote innovative, high-quality, reliable and easy to use measuring equipment. Our main goal is Complete Customer Satisfaction. We strive to become one of the leading suppliers of electronic measuring devices through a combination of newest technologies, affordability to the customers, ease of use and competitive prices for all our products.
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''Smooth'' inference for clustered survival data. $49.99 Regression analysis of censored clustered-correlated time-to-event data is of interest in family studies, litter-matched tumorigenesis studies, and other settings where the survival times may be thought of as arising in groups or "clusters, " and the correlation among survival times in each cluster must be taken into account. A natural way to address such dependence is through incorporation of subject-specific random effects. In the first part of this dissertation, we propose an accelerated failure time (AFT) model for such data that involves normally-distributed, mean zero random effects and a within-cluster "error" term that is assumed to have distribution with a density satisfying mild "smoothness" conditions. We approximate the smooth density by the "seminonparametric" (SNP) representation of Gallant and Nychka (1987), which admits a "parametric" form for the density depending on a known "kernel" density and a tuning parameter that determines the degree of flexibility for capturing the true density. This representation facilitates likelihood-based inference on the regression parameter, random effects variance components, and the density, which we implement by a Monte Carlo expectation-maximization (MCEM) algorithm; and we choose the tuning parameter and "kernel" using standard information criteria. Moreover, arbitrary censoring patterns may be accommodated straightforwardly. We illustrate the approach via simulations and by applications to data from Diabetic Retinopathy Study (DRS, Diabetic Retinopathy Study Research Group, 1981), from a litter-matched tumorigenesis study (Mantel, Bohidar, and Ciminera, 1977), and from western Kenya parasitaemia study (McElroy et al., 1997).;The second part of this dissertation focuses on estimation of a bivariate survival function. In many situations, such as twin studies, matched pair studies, and studies of organ such as the eyes and kidneys, correlated, bivariate failure times are recorded. Based on a sample of possibly |
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''Smooth'' inference for clustered survival data. $49.99 Regression analysis of censored clustered-correlated time-to-event data is of interest in family studies, litter-matched tumorigenesis studies, and other settings where the survival times may be thought of as arising in groups or "clusters, " and the correlation among survival times in each cluster must be taken into account. A natural way to address such dependence is through incorporation of subject-specific random effects. In the first part of this dissertation, we propose an accelerated failure time (AFT) model for such data that involves normally-distributed, mean zero random effects and a within-cluster "error" term that is assumed to have distribution with a density satisfying mild "smoothness" conditions. We approximate the smooth density by the "seminonparametric" (SNP) representation of Gallant and Nychka (1987), which admits a "parametric" form for the density depending on a known "kernel" density and a tuning parameter that determines the degree of flexibility for capturing the true density. This representation facilitates likelihood-based inference on the regression parameter, random effects variance components, and the density, which we implement by a Monte Carlo expectation-maximization (MCEM) algorithm; and we choose the tuning parameter and "kernel" using standard information criteria. Moreover, arbitrary censoring patterns may be accommodated straightforwardly. We illustrate the approach via simulations and by applications to data from Diabetic Retinopathy Study (DRS, Diabetic Retinopathy Study Research Group, 1981), from a litter-matched tumorigenesis study (Mantel, Bohidar, and Ciminera, 1977), and from western Kenya parasitaemia study (McElroy et al., 1997).;The second part of this dissertation focuses on estimation of a bivariate survival function. In many situations, such as twin studies, matched pair studies, and studies of organ such as the eyes and kidneys, correlated, bivariate failure times are recorded. Based on a sample of possibly |