Academic literature on the topic 'Measured value'
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Journal articles on the topic "Measured value"
Serenkov, P. S., and V. M. Romanchak. "Quality as Subjectively Measured Value." Devices and Methods of Measurements 10, no. 1 (March 15, 2019): 98–110. http://dx.doi.org/10.21122/2220-9506-2019-10-1-98-110.
Full textDamghani, Babak Mahdavi, Daniella Welch, Ciaran O'Malley, and Stephen Knights. "The Misleading Value of Measured Correlation." Wilmott 2012, no. 62 (November 2012): 64–73. http://dx.doi.org/10.1002/wilm.10167.
Full textFuentes-Arderiu, Xavier, and Aída Porras-Caicedo. "About ‘measurement result’ and ‘measured value’." Accreditation and Quality Assurance 16, no. 7 (May 21, 2011): 387–88. http://dx.doi.org/10.1007/s00769-011-0788-8.
Full textKim, Chang-Soo, and Hyun-Joo Lee. "The Value Relevance of other Comprehensive Income Measured by Fair-value." korean management review 44, no. 1 (February 28, 2015): 1. http://dx.doi.org/10.17287/kmr.2015.44.1.1.
Full textWagner, Richard J., and Robert J. Weigand. "Can the Value of Training Be Measured?" Health Care Manager 23, no. 1 (January 2004): 71–77. http://dx.doi.org/10.1097/00126450-200401000-00012.
Full textHiltunen, I., J. Lehtonen, A. Stenvall, and R. Mikkonen. "Influence of Self-Heating on Measured $n$-Value." IEEE Transactions on Applied Superconductivity 20, no. 3 (June 2010): 1597–600. http://dx.doi.org/10.1109/tasc.2010.2042156.
Full textSunshine, Jonathan H., and Jeffrey H. Burkhardt. "Radiology Groups’ Workload Measured in Relative Value Units." Radiology 218, no. 2 (February 2001): 602. http://dx.doi.org/10.1148/radiology.218.2.r01fe02602.
Full textLarson, Douglas M. "Can Nonuse Value Be Measured from Observable Behavior?" American Journal of Agricultural Economics 74, no. 5 (December 1992): 1114–20. http://dx.doi.org/10.2307/1242767.
Full textLi, Dapeng, Jinwei Li, Fengjiao Shi, and Lei Qin. "Comparison between theoretical value and measured value of cracking time of rust expansion." IOP Conference Series: Materials Science and Engineering 452 (December 12, 2018): 022023. http://dx.doi.org/10.1088/1757-899x/452/2/022023.
Full textBerglund, Tom. "The value of improvements in measured corporate governance quality." Corporate Ownership and Control 8, no. 4 (2011): 239–52. http://dx.doi.org/10.22495/cocv8i4c2art1.
Full textDissertations / Theses on the topic "Measured value"
Haug, Even. "Methods for Extreme Value Statistics Based on Measured Time Series." Thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9733.
Full textThe thesis describes the Average Exceedance Rate (AER) method, which is a method for predicting return levels from sampled time series. The AER method is an alternative to the Peaks over threshold (POT) method, which is based on the assumption that data exceeding a certain threshold will behave asymptotically. The AER methods avoids this assumption by using sub-asymptotic data instead. Also, instead of using declustering to obtain independent data, correlation among the data is dealt with by assuming a Markov-like property. A practical procedure for using the AER method is proposed and tested on two sets of real data. These are a set of wind speed data from Norway and a set of wave height data from the Norwegian continental shelf. From the results, the method appears to give satisfactory results for the wind speed data, but for the wave height data its use appears to be invalid. However, the method itself seems to be robust, and to have certain advantages when compared to the POT method.
McFarland, Kathryne L. "Can Principals Identify Value-Adding Teachers? Can Principals Accurately Identify Effective Teachers as Measured by Value-Added Analysis?" Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1377251390.
Full textGogotya, Ntombizodwa Wonkie. "Productivity in South Africa as measured by changes in value added per employee per year." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50069.
Full textENGLISH ABSTRACT: One of the objectives of corporate reporting is the communication of information on a company's performance to all stakeholders. The traditional financial statements (balance sheet, income statement and the cash flow statement) do not sufficiently meet all of the above requirements. In view of this, the study project acknowledges the need for corporate reporting beyond the traditional conventional financial reports. This therefore necessitated the use of a Value-Added Statement (VAS) as one of the financial statements that is regarded to have the ability to enhance corporate reporting. A VAS is based on an economic concept and, therefore, a contribution of a specific company towards the Gross Domestic Product (GOP) can be directly measured. Although a VAS does not solely disclose all of the information pertaining to the economic performance of business enterprise, it is believed that the statement can assist interested parties in making well-informed economic decisions. However, the publication of a VAS is still not a statutory regulation in South Africa. The findings indicate some limitations in the manner in which a VAS is published. The format is not statutory and is not audited, but there are opportunities for further research and improvement. This aspect has unfortunately led some users to mistrust the statement. For example, it almost always indicates that the labour component takes most of the value added (Hird, 1983). Statistical tests (e.g. Shapiro-Wilk's W Spearman R Test, histograms) have been conducted. These tests show a weak negative relationship between change in number of employees and change in value added by each employee. This suggests that value added per employee is not the only factor that contributes to productivity. There is therefore not enough evidence to conclude that companies that reduce the number of employees improve productivity.
AFRIKAANSE OPSOMMING: Een van die doelwitte van korporatiewe verslaggewing is om inligting oor die prestasie van 'n maatskappy aan alle belangegroepe te kommunikeer. Die tradisionele finansiële state (balansstaat, inkomstestaat en kontantvloeistaat) voldoen nie heeltemal aan bogenoemde vereistes nie. In die lig hiervan erken die studieprojek die behoefte aan korporatiewe verslaggewing bo en behalwe die tradisionele finansiële verslae. Dit het dus die gebruik van die toegevoegdewaardestaat (TWS) genoodsaak as een van die finansiële state wat daartoe kan bydra om korporatiewe verslaggewing te verbeter. 'n TWS is gebaseer op 'n ekonomiese konsep. Daarom kan 'n bydrae van 'n spesifieke maatskappy tot die Bruto Binnelandse Produk (BBP) direk gemeet word. Hoewel 'n toegevoegdewaardestaat nie op sy eie al die inligting oor die ekonomiese prestasie van 'n besigheidsonderneming blootlê nie, kan dit belangstellende partye help om ingeligte ekonomiese besluite te neem. Die publikasie van 'n toegevoegdewaardestaat is egter nog nie 'n statutêre regulasie in Suid-Afrika nie. Die bevindinge dui op 'n aantal beperkinge in die wyse waarop 'n TWS gepubliseer word. Die formaat is nie statutêr nie en word nie geouditeer nie, maar daar is geleenthede vir verdere navorsing en verbetering. Hierdie aspek het ongelukkig daartoe gelei dat sommige gebruikers die staat wantrou. Byvoorbeeld: Die VAS dui feitlik altyd aan dat die arbeidskomponent die meeste van die toegevoegde waarde opneem (Hird, 1983). Statistiese toetse (bv. Shapiro-Wilk se W Spearman R Toets, histogramme) is uitgevoer. Hierdie toetse dui op 'n swak negatiewe verhouding tussen verandering in die aantal werknemers en verandering in die waarde wat deur elke werknemer toegevoeg word. Dit dui daarop dat die waarde wat per werknemer toegevoeg word nie die enigste faktor is wat bydra tot produktiwiteit nie. Daarom lewer dit nie genoegsaam bewys om tot die gevolgtrekking te kom dat maatskappye wat hul aantal werknemers verminder terselfdertyd produktiwiteit verhoog nie.
Hilbert, Anja, L. Schäfer, C. Hübner, T. Carus, B. Herbig, F. Seyfried, S. Kaiser, and A. Dietrich. "Pre- and postbariatric subtypes and their predictive value for health-related outcomes measured three years after surgery." Universität Leipzig, 2019. https://ul.qucosa.de/id/qucosa%3A38020.
Full textWong, Peter Kim-Hung. "QUANTIFYING THE PERCEIVED VALUE OF PHARMACY SERVICES AS MEASURED BY THE CONTINGENT VALUATION METHOD: FOCUS ON COMMUNITY PHARMACY." University of Cincinnati / OhioLINK, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=ucin980272432.
Full textStewart, Robert L. (Robert Lee) 1960. "The Relationships Between the TeacherInsight Score and Student Performance As Measured by Student TAKS Academic Change Scores." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc700102/.
Full textPhillips, Roger. "The predictive value of in vitro chemosensitivity tests of anticancer drugs : in vitro chemosensitivity of a panel of murine colon tumours determined by a colony forming assay at drug exposure parameters measured in vivo." Thesis, University of Bradford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329305.
Full textErasmus, Petrus Daniel. "Evaluating value based financial performance measures." Thesis, Stellenbosch : University of Stellenbosch, 2008. http://hdl.handle.net/10019.1/1407.
Full textThe primary financial objective of a firm is the maximisation of its shareholders’ value. A problem faced by the shareholders of a firm is that it is difficult to determine the effect of management decisions on the future share returns of the firm. Furthermore, it may be necessary to implement certain monitoring costs to ensure that management is focused on achieving this objective. A firm would, therefore, benefit from being able to identify those financial performance measures that are able to link the financial performance of the firm to its share returns. Implementing such a financial performance measure in the valuation and reward systems of a firm should ensure that management is aligned with the objective of shareholder value maximisation, and rewarded for achieving it. A large number of traditional financial performance measures have been developed. These measures are often criticised for excluding a firm’s cost of capital, and are considered inappropriate to be used when evaluating value creation. Furthermore, it is argued that these measures are based on accounting information, which could be distorted by Generally Accepted Accounting Practice (GAAP). Studies investigating the relationship between these measures and share returns also provide conflicting results. As a result of the perceived limitations of traditional measures, value based financial performance measures were developed. The major difference between the traditional and value based measures is that the value based measures include a firm’s cost of capital in their calculation. They also attempt to remove some of the accounting distortions resulting from GAAP. Proponents of the value based measures present these measures as a major improvement over the traditional financial performance measures and report high levels of correlation between the measures and share returns. A number of studies containing contradictory results have been published. On the basis of these conflicting results it is not clear whether the value based measures are able to outperform the traditional financial performance measures in explaining share returns. The primary objectives of this study are thus to: • Determine the relationship between the traditional measures earnings before extraordinary items (EBEI) and cash from operations (CFO), and shareholder value creation; • Investigate the value based measures residual income (RI), economic value added (EVA), cash value added (CVA) and cash flow return on investments (CFROI), and to determine their relationship with the creation of shareholder value; • Evaluate the incremental information content of the value based measures above the traditional measures. The information content of the traditional measures and the value based measures are evaluated by employing an approach developed by Biddle, Bowen and Wallace (1997). The first phase of this approach entails the evaluation of the relative information content of the various measures in order to determine which measure explains the largest portion of a firm’s market-adjusted share returns. The second phase consists of an evaluation of the incremental information content of the components of a measure in order to determine whether the inclusion of an additional component contributes statistically significant additional information beyond that contained in the other components. The study is conducted for South African industrial firms listed on the Johannesburg Securities Exchange for the period 1991 to 2005. The data required to calculate the measures investigated in the study are obtained from the McGregor BFA database. This database contains annual standardised financial statements for listed and delisted South African firms. It also contains EVA, cost of capital and invested capital amounts for those firms listed at the end of the research period. Including only these listed firms in the research sample would expose the study to a survivorship bias. Hence these values are estimated for those firms that delisted during the period under review by employing a similar approach to the one used in the database. The resulting sample consists of 364 firms providing 3181 complete observations. Since different information is required to calculate the various measures included in the study, different samples are compiled from this initial sample and included in the tests conducted to evaluate the information content of the measures. The results of this study indicate that the value based measures are not able to outperform EBEI in the majority of the relative information content tests. Furthermore, the measures EVA, CVA and CFROI are also not able to outperform the relatively simple value based measure RI. The results from the incremental information content tests indicate that although some of the components of the value based measures provide statistically significant incremental information content, the level of significance for these relatively complex adjustments is generally low. Based on these results, the claims made by the proponents of the value based measures cannot be supported. Furthermore, if a firm intends to incorporate its cost of capital in its financial performance measures, the measure RI provides most of the benefits contained in the other more complex value based measures.
Schulle, Polly Jane. "Spaces of operators containing co and/or l ∞ with an application of vector measures." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc9036/.
Full textGanief, Moegamad Shahiem. "Development of value at risk measures : towards an extreme value approach." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52189.
Full textENGLISH ABSTRACT: Commercial banks, investment banks, insurance companies, non-financial firms, and pension funds hold portfolios of assets that may include stocks, bonds, currencies, and derivatives. Each institution needs to quantify the amount of risk its portfolio is exposed to in the course of a day, week, month, or year. Extreme events in financial markets, such as the stock market crash of October 1987, are central issues in finance and particularly in risk management and financial regulation. A method called value at risk (VaR) can be used to estimate market risk. Value at risk is a powerful measure of risk that is gaining wide acceptance amongst institutions for the management of market risk. Value at Risk is an estimate of the largest lost that a portfolio is likely to suffer during all but truly exceptional periods. More precisely, the VaR is the maximum loss that an institution can be confident it would lose a certain fraction of the time over a particular period. The power of the concept is its generality. VaR measures are applicable to entire portfolios - encompassing many asset categories and multiple sources of risk. As with its power, the challenge of calculating VaR also stems from its generality. In order to measure risk in a portfolio using VaR, some means must be found for determining a return distribution for the portfolio. There exists a wide range of literature on different methods of implementing VaR. But, when one attempts to apply the results, several questions remain open. For example, given a VaR measure, how can the risk manager test that the particular measure at hand is appropriately specified? And secondly, given two different VaR measures, how can the risk manager pick the best measure? Despite the popularity of VaR for measuring market risk, no consensus has yet been reach as to the best method to implement this risk measure. The absence of consensus is in part derived from the realization that each method currently in use has some significant drawbacks. The aim of this project is threefold: to introduce the reader to the concept of VaR; present the theoretical basis for the general approaches to VaR computations; and to introduce and apply Extreme Value Theory to VaR calculations. The general approaches to VaR computation falls into three categories, namely, Analytic (Parametric) Approach, Historical Simulation Approach, and Monte Carlo Simulation Approach. Each of these approaches has its strengths and weaknesses, which will study more closely. The extreme value approach to VaR calculation is a relatively new approach. Since most observed returns are central ones, traditional VaR methods tend to ignore extreme events and focus on risk measures that accommodate the whole empirical distribution of central returns. The danger of this approach is that these models are prone to fail just when they are needed most - in large market moves, when institutions can suffer very large losses. The extreme value approach is a tool that attempts to provide the user with the best possible estimate of the tail area of the distribution. Even in the absence of useful historical data, extreme value theory provides guidance on the kind of distribution that should be selected so that extreme risks are handled conservatively. As an illustration, the extreme value method will be applied to a foreign exchange futures contract. The validity of EVT to VaR calculations will be tested by examining the data of the Rand/Dollar One Year Futures Contracts. An extended worked example will be provided wherein which attempts to highlight the considerable strengths of the methods as well as the pitfalls and limitations. These results will be compared to VaR measures calculated using a GARCH(l,l) model.
AFRIKAANSE OPSOMMING: Handelsbanke, aksepbanke, assuransiemaatskappye, nie-finansiële instellings en pensioenfondse beskik oor portefeuljes van finansiële bates soos aandele, effekte, geldeenhede en afgeleides. Elke instelling moet die omvang kan bepaal van die risiko waaraan die portefeulje blootgestel is in die loop van 'n dag, week, maand of jaar. Uitsonderlike gebeure op finansiële markte, soos die ineenstorting van die aandelemark in Oktober 1987, is van besondere belang vir finansies en veral vir risikobestuur en finansiële regulering. 'n Metode wat genoem word Waarde op Risiko (WoR), kan gebruik word om markverliese te meet. WoR is 'n kragtige maatstaf vir risiko en word deur vele instellings gebruik vir die bestuur van mark-risiko. Waarde op Risiko is 'n raming van die grootste verlies wat 'n portefeulje moontlik kan ly gedurende enige tydperk, met uitsluiting van werklik uitsonderlike tydperke. Van nader beskou, is WoR die maksimum verlies wat 'n instelling kan verwag om gedurende 'n sekere tydperk binne 'n bepaalde periode te ly. Die waarde van die konsep lê in die algemene aard daarvan. WoR metings is van toepassing op portefeuljes in dié geheel en dit omvat baie kategorieë bates en veelvuldige bronne van risiko. Soos met die waarde van die konsep, hou die uitdaging om WoR te bereken ook verband met die algemene aard van die konsep. Ten einde die risiko te bepaal in 'n portefeulje waar WoR gebruik word, moet metodes gevind word waarvolgens 'n opbrengsverdeling vir die portefeulje vasgestel kan word. Daar bestaan 'n groot verskeidenheid literatuur oor die verskillende metodes om WoR te implementeer. Wanneer dit egter kom by die toepassing van die resultate, bly verskeie vrae onbeantwoord. Byvoorbeeld, hoe kan die risikobestuurder aan die hand van 'n gegewe WoR-maatstaf toets of die spesifieke maatstaf reg gespesifiseer is? Tweedens, hoe kan die risikobestuurder die beste maatstaf kies in die geval van twee verskillende WoR-maatstawwe? Ondanks die feit dat WoR algemeen gebruik word vir die meting van markrisiko, is daar nog nie konsensus bereik oor die beste metode om hierdie benadering tot risikometing te implementeer nie. Die feit dat daar nie konsensus bestaan nie, kan deels daaraan toegeskryf word dat elkeen van die metodes wat tans gebruik word, ernstige leemtes het. Die doel van hierdie projek is om die konsep WoR bekend te stel, om die teoretiese grondslag te lê vir die algemene benadering tot die berekening van WoR en om die Ekstreme Waarde-teorie bekend te stel en toe te pas op WoR-berekenings. Die algemene benadering tot die berekening van WoR word in drie kategorieë verdeel naamlik die Analitiese (Parametriese) benadering, die Historiese simulasiebenadering en die Monte Carlo-simulasiebenadering. Elkeen van die benaderings het sterk- en swakpunte wat van nader ondersoek sal word. Die Ekstreme Waarde-benadering tot WoR is 'n relatief nuwe benadering. Aangesien die meeste opbrengste middelwaarde-gesentreer is, is tradisionele WoR-metodes geneig om uitsonderlike gebeure buite rekening te laat en te fokus op risiko-maatstawwe wat die hele empiriese verdeling van middelwaarde-gesentreerde opbrengste akkommodeer. Die gevaar bestaan dan dat hierdie modelle geneig is om te faal juis wanneer dit die meeste benodig word, byvoorbeeld in die geval van groot markverskuiwings waartydens organisasies baie groot verliese kan ly. Daar word beoog om met behulp van die Ekstreme Waarde-benadering aan die gebruiker die beste moontlike skatting van die stert-area van die verdeling te gee. Selfs in die afwesigheid van bruikbare historiese data verskaf die Ekstreme Waarde-teorie riglyne ten opsigte van die aard van die verdeling wat gekies moet word, sodat uiterste risiko's versigtig hanteer kan word. Ten einde hierdie metode te illustreer, word dit in hierdie studie toegepas op 'n termynkontrak ten opsigte van buitelandse wisselkoerse. Die geldigheid van die Ekstreme Waarde-teorie ten opsigte van WoR berekenings word getoets deur die data van die Rand/Dollar Eenjaartermynkontrak te bestudeer. 'n Volledig uitgewerkte voorbeeld word verskaf waarin die slaggate en beperkings asook die talle sterkpunte van die model uitgewys word. Hierdie resultate sal vergelyk word met 'n WoR-meting wat bereken is met die GARCH (1,1) model.
Books on the topic "Measured value"
Bhagat, Sanjai. The market value of trademarks measured via trademark litigation. Cambridge, Mass: Marketing Science Institute, 1992.
Find full textBhagat, Sanjai. The market value of trademarks measured via trademark litigation. Cambridge, Mass: Marketing Science Institute, 1992.
Find full textMunsell, A. H. A color notation: An illustrated system defining all colors and their relations by measured scales of hue, value, and chroma. Newburgh, NY: Munsell Color Company, 1992.
Find full textMunsell, A. H. A color notation: An illustrated system defining all colors and their relations by measured scales of hue, value, and chroma. [Whitefish, Mont.]: Kessinger Pub., 2004.
Find full textEikelmann, Nils. Value Based Performance Measures. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-31429-3.
Full textGrossman, Pamela L. Measure for measure: The relationship between measures of instructional practice in middle school english language arts and teachers' value-added scores. Cambridge, MA: National Bureau of Economic Research, 2010.
Find full textDrake, Pamela Peterson. Company performance and measures of value added. Charlottesville, Va: Research Foundation of the Institute of Chartered Financial Analysts, 1996.
Find full textPeterson, Pamela P. Company performance and measures of value added. Charlottesville, Va: The Research Foundation of The Institute of Chartered Financial Analysts, 1996.
Find full textJesson, David. Value added measures of school GCSE performance. Norwich: HMSO, 1997.
Find full textBook chapters on the topic "Measured value"
Kannan, Naresh, Krishnamoorthy Arasu, R. Jagadeesh Kannan, and R. Ganesan. "An Efficient System Model for Multicasting Measured Noise Value of Polluting Industries." In Advances in Intelligent Systems and Computing, 377–83. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2750-5_39.
Full textLooks, Hanna, Jannik Fangmann, Jörg Thomaschewski, María-José Escalona, and Eva-Maria Schön. "Towards a Standardized Questionnaire for Measuring Agility at Team Level." In Lecture Notes in Business Information Processing, 71–85. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78098-2_5.
Full textBeliakov, Gleb, Simon James, and Jian-Zhang Wu. "Value and Interaction Indices." In Discrete Fuzzy Measures, 55–73. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15305-2_3.
Full textQuicke, Donald, Buntika A. Butcher, and Rachel Kruft Welton. "Regression and correlation analyses." In Practical R for biologists: an introduction, 119–46. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0119.
Full textQuicke, Donald, Buntika A. Butcher, and Rachel Kruft Welton. "Regression and correlation analyses." In Practical R for biologists: an introduction, 119–46. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0011.
Full textGądek-Moszczak, Aneta, Joanna Korzekwa, and Joanna Fabiś-Domagała. "THE IMPACT OF THE IMAGE RESOLUTION ON THE VALUE OF MEASURED GEOMETRIC PARAMETERS ON THE EXAMPLE OF DUCTILE IRON STRUCTURE." In Quality Production Improvement - QPI, edited by Robert Ulewicz, 350–57. Warsaw, Poland: Sciendo, 2019. http://dx.doi.org/10.2478/9783110680591-047.
Full textNathan, William Tierney. "How to Measure Value." In Value Management in Healthcare, 25–48. Boca Raton : Taylor & Francis, 2018.: Productivity Press, 2017. http://dx.doi.org/10.1201/9781315102245-3.
Full textKriele, Marcus, and Jochen Wolf. "Risk Measures." In Value-Oriented Risk Management of Insurance Companies, 17–72. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6305-3_2.
Full textMwakibete, Andwilile. "Monetary Measures of Value." In Encyclopedia of Quality of Life and Well-Being Research, 4104–5. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_1836.
Full textBlath, Jochen. "Measure-valued Processes, Self-similarity and Flickering Random Measures." In Fractal Geometry and Stochastics IV, 175–96. Basel: Birkhäuser Basel, 2009. http://dx.doi.org/10.1007/978-3-0346-0030-9_6.
Full textConference papers on the topic "Measured value"
Holland, Jeff, Christian Oberwinkler, Michael Huber, and Georg Zangl. "Utilizing the Value of Continuously Measured Data." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2004. http://dx.doi.org/10.2118/90404-ms.
Full textSchubert, M., S. Heuraux, E. Gusakov, A. Popov, T. Gerbaud, and F. Da Silva. "On the Absolute Value of the Density Fluctuation Measured by Reflectometry." In 3rd France-Russia Seminar. Les Ulis, France: EDP Sciences, 2007. http://dx.doi.org/10.1051/names2007026.
Full textKirkham, H., A. Riepnieks, M. Albu, and D. Laverty. "The nature of measurement, and the true value of a measured quantity." In 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC ). IEEE, 2018. http://dx.doi.org/10.1109/i2mtc.2018.8409771.
Full textLi Xiaojing and Wang Ping. "A method of extending the lower measured value of ultrasonic Doppler Flowmeter." In 2011 International Conference on Electric Information and Control Engineering (ICEICE). IEEE, 2011. http://dx.doi.org/10.1109/iceice.2011.5778016.
Full textGarcía-Resúa, Carlos, Hugo Pena-Verdeal, Madalena Lira, M. Elisabete Real Oliveira, María Jesús Giráldez, and Eva Yebra-Pimentel. "Comparison between three methods to value lower tear meniscus measured by image software." In 8th Ibero American Optics Meeting/11th Latin American Meeting on Optics, Lasers, and Applications, edited by Manuel Filipe P. C. Martins Costa. SPIE, 2013. http://dx.doi.org/10.1117/12.2030433.
Full textMa, Sha, and Bao Liang Jiang. "Research on Methods to Fast Eliminate Singular Value in Irregular Initial Measured Displacement Serial." In 2010 International Symposium on Information Science and Engineering (ISISE). IEEE, 2010. http://dx.doi.org/10.1109/isise.2010.117.
Full textOtsuka, Hiroto, Ryohei Yamagishi, Akira Saitou, Ryo Ishikawa, and Kazuhiko Honjo. "Analytical and measured estimation for 4-value multiplexing OAM communication using loop array antennas." In 2017 47th European Microwave Conference (EuMC). IEEE, 2017. http://dx.doi.org/10.23919/eumc.2017.8230797.
Full textDutta, B. K., Shekhar Saini, and Navneet Arora. "Application of Modified Damage Potential (ψ-Integral) to Predict Crack Initiation in Welded Pipes and Experimental Verification." In ASME 2005 Pressure Vessels and Piping Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pvp2005-71769.
Full textHowell, Imran, Leonie Glinski, Stephen Iles, James Garvican, and Meme Wijesinghe. "Hitting the target - How well can the negative predictive value of targeted EBUS be measured?" In ERS International Congress 2019 abstracts. European Respiratory Society, 2019. http://dx.doi.org/10.1183/13993003.congress-2019.pa3075.
Full textHe, Xueli, Lijing Wang, and Yingchun Chen. "The study of conversion between the pupil diameter measured by eye tracker and the real value." In 2012 10th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2012. http://dx.doi.org/10.1109/indin.2012.6301225.
Full textReports on the topic "Measured value"
Grossman, Pam, Susanna Loeb, Julia Cohen, Karen Hammerness, James Wyckoff, Donald Boyd, and Hamilton Lankford. Measure for Measure: The relationship between measures of instructional practice in middle school English Language Arts and teachers' value-added scores. Cambridge, MA: National Bureau of Economic Research, May 2010. http://dx.doi.org/10.3386/w16015.
Full textMehra, Rajnish. Indian Equity Markets: Measures of Fundamental Value. Cambridge, MA: National Bureau of Economic Research, June 2010. http://dx.doi.org/10.3386/w16061.
Full textLemos, Renata, Karthik Muralidharan, and Daniela Scur. Personnel Management and School Productivity: Evidence from India. Research on Improving Systems of Education (RISE), February 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2021/063.
Full textBertoni, Eleonora, Gregory Elacqua, Carolina Méndez, and Humberto Santos. Teacher Hiring Instruments and Teacher Value Added: Evidence from Peru. Inter-American Development Bank, December 2020. http://dx.doi.org/10.18235/0003123.
Full textBradford, David. Market Value Vs. Financial Accounting Measures of National Saving. Cambridge, MA: National Bureau of Economic Research, March 1989. http://dx.doi.org/10.3386/w2906.
Full textResearch Institute (IFPRI), International Food Policy. Using quantitative tools to measure gender differences within value chains. Washington, DC: International Food Policy Research Institute, 2016. http://dx.doi.org/10.2499/9780896292130_14.
Full textSuh, Jooyeoun, Changa Dorji, Valerie Mercer-Blackman, and Aimee Hampel-Milagrosa. Valuing Unpaid Care Work in Bhutan. Asian Development Bank, November 2020. http://dx.doi.org/10.22617/wps200065-2.
Full textWang, Zhi, Shang-Jin Wei, Xinding Yu, and Kunfu Zhu. Measures of Participation in Global Value Chains and Global Business Cycles. Cambridge, MA: National Bureau of Economic Research, March 2017. http://dx.doi.org/10.3386/w23222.
Full textCaspersen, Erik, and Gilbert Metcalf. Is A Value Added Tax Progressive? Annual Versus Lifetime Incidence Measures. Cambridge, MA: National Bureau of Economic Research, June 1993. http://dx.doi.org/10.3386/w4387.
Full textCoskunoglu, Osman. Appraisal of the Army's Facilities: Managerial Implications, Value Measures, and Computational Methods. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada199968.
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