Relevant bibliographies by topics / Mean performance

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Mean performance'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Mean performance"

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REDD, MARY LOU, and JUDITH W. ALEXANDER. "Does Certification Mean Better Performance?" Nursing Management (Springhouse) 28, no. 2 (1997): 45. http://dx.doi.org/10.1097/00006247-199702000-00013.

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Sharkey, Liz. "What does performance management mean?" Five to Seven 1, no. 2 (2001): 13–15. http://dx.doi.org/10.12968/ftse.2001.1.2.16960.

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Bhawsar, Subham, and Aastha Hajari. "Performance Analysis of K-mean Clustering Map for Different Nodes." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (2018): 1215–17. http://dx.doi.org/10.31142/ijtsrd18859.

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Bhat, S. S., and R. Vidya. "Performance of Ridge Estimators Based on Weighted Geometric Mean and Harmonic Mean." Journal of Scientific Research 12, no. 1 (2020): 1–13. http://dx.doi.org/10.3329/jsr.v12i1.40525.

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Ordinary least squares estimator (OLS) becomes unstable if there is a linear dependence between any two predictors. When such situation arises ridge estimator will yield more stable estimates to the regression coefficients than OLS estimator. Here we suggest two modified ridge estimators based on weights, where weights being the first two largest eigen values. We compare their MSE with some of the existing ridge estimators which are defined in the literature. Performance of the suggested estimators is evaluated empirically for a wide range of degree of multicollinearity. Simulation study indic
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Pillow, J. Jane. "Oscillatory Ventilator Performance: What Does It Mean?" Neonatology 108, no. 3 (2015): 229–32. http://dx.doi.org/10.1159/000438693.

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Breuer, Wolfgang, and Marc Gürtler. "Performance evaluation and preferences beyond mean-variance." Financial Markets and Portfolio Management 17, no. 2 (2003): 213–33. http://dx.doi.org/10.1007/s11408-003-0204-4.

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Fredrick, M. Njoka, and M. Kariuki Jeniffer. "Agronomic Performance of Single Crosses of Maize in Kiambu and Embu Counties of Kenya." Journal of Applied Life Sciences International 12, no. 1 (2017): 1–8. https://doi.org/10.9734/JALSI/2017/30932.

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<strong>Aims:</strong> This study was conducted to determine the agronomic performance of respective maize single crosses in different environments in varying soil and climatic zones in Kenya. <strong>Methodology:</strong> The trials were conducted at experimental stations of Kenya Agricultural and Livestock Research Organization (KALRO), Muguga South and KALRO Embu in Kiambu and Embu counties of Kenya respectively. The germplasm used in this study were 36 single crosses among 18 inbred lines of maize. The experiment was laid out in a 6 x 6 lattice randomized complete block design (RCBD) with
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Reb, Jochen. "EVALUATING DYNAMIC PERFORMANCE: EFFECTS OF TREND, MEAN, AND VARIATION OF PERFORMANCE ON PERFORMANCE RATINGS." Academy of Management Proceedings 2005, no. 1 (2005): J1—J6. http://dx.doi.org/10.5465/ambpp.2005.18778894.

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Chai, T., and R. R. Draxler. "Root mean square error (RMSE) or mean absolute error (MAE)?" Geoscientific Model Development Discussions 7, no. 1 (2014): 1525–34. http://dx.doi.org/10.5194/gmdd-7-1525-2014.

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Abstract. Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be a misleading indicator of average error and thus the MAE would be a better metric for that purpose. Their paper has been widely cited and may have influenced many researchers in choosing MAE when presenting their model evaluation statistics. However, we contend that the proposed avoidance of RMSE and the use of MAE is not the solution to t
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Margo Zeqo, Lorena, Eljona Milo Tasho, and Denisa Kafazi. "Bootstrapping the Seasonal Means and the Overall Mean in Rainfall Time Series." Interdisciplinary Journal of Research and Development 10, no. 1 (2023): 51. http://dx.doi.org/10.56345/ijrdv10n108.

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Several bootstrap methods have been studied nowadays for estimating the parameters in periodic data and it is important to consider the periodicity present in choosing the right bootstrap method. In this study we conducted a comparison of the performance of several block bootstrap methods designed for dependent data in the case of a real data time series with periodic structure such as the rainfall time series that is a time series with meteorological data collected monthly in a region in Albania. R programming language is used to perform the bootstrap and to obtain the results. We proposed a
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Dissertations / Theses on the topic "Mean performance"

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Figueiredo, Juliana Gonzalez. "Performance of Robo-Advisors versus Mean-Variance Theory." Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/20859.

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Mestrado em Finanças<br>Os "robo-advisors" representam uma tendência de rápido crescimento dentro da indústria de consultoria de investimentos e têm um enorme potencial para ser uma alternativa para investidores de varejo. Porém, por se tratar de uma tecnologia tão recente, esta ainda é uma área pouco explorada e com métodos e eficiência pouco estudados. Este estudo compreende abordagens teórica e empírica sobre a metodologia de investimento dos robôs. Na parte teórica, realizamos uma revisão bibliográfica apresentando os principais estudos realizados sobre os robôs e o seu estado atual no mer
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Blanck, Andreas. "On the Performance of Mean-Risk Portfolio Optimization Strategies." Thesis, Umeå universitet, Nationalekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149611.

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Finding a portfolio strategy that entails optimal performance and risk diversification may be a complicated task for investors. In this thesis, we explore and evaluate the performances of several non-trivial portfolio optimization strategies, based on various measures of risk, to identify the optimal choice. Furthermore, as in contemporary papers, we will also assess whether or not trivial strategies are outperformed by those that rely on rigorous theoretical frameworks. These portfolio strategies were backtested on historic U.S. stock marketdata ranging from 2000 to 2015, to evaluate how they
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Colatat, Mahyulee C. "Estimating Performance Mean and Variability With Distributional Rating Scales: A Field Study Towards Improved Performance Measurement." Bowling Green State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1206385486.

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Colatat, Mahyulee Chang. "Estimating performance mean and variability with distributional rating scales a field study towards enhanced performance measurement /." Bowling Green, Ohio : Bowling Green State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=bgsu1206385486.

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Wenstrup, Martin Emil. "Etik i internationale virksomheder - et middel til performance? = Ethics in international enterprises - a mean to performance? /." Aarhus : Institut for Økonomi, Aarhus Universitet, 2007. http://mit.econ.au.dk/Library/Specialer/20013587.htm.

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Agarwal, Vikas. "Place of hedge funds in a prudent portfolio : risk-return characteristics and performance evaluation." Thesis, London Business School (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368204.

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Laichi, Farouk. "Performance study of the leaky least mean square adaptive algorithm with delayed adjustments." Thesis, University of Ottawa (Canada), 1993. http://hdl.handle.net/10393/6748.

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Adaptive filters constitute an important part of signal processing. They are widely used in many applications where signal statistics are unknown to the users. One of the most popular adaptive methods is known as the least mean-squared (LMS) algorithm. It is well known for its hardware simplicity and its cost effectiveness. However, the LMS adaptive algorithm does not operate well in non-ideal environments. Leakage in the updated equation of the LMS algorithm was proven to overcome many such problems. This algorithm is known as the leaky LMS (LLMS). The LLMS is very robust to drifting phenomen
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Salehi, H. (Hamed). "A mean-variance portfolio optimization based on firm characteristics and its performance evaluation." Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201305201300.

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A flexible and financially sensible methodology that takes quantifiable firm’s characteristics into account when constructing a portfolio inspired by Brandt et al. (2009) and Hjalmarsson and Manchev (2010) is described. The method imposes the weights to be a linear function of characteristics for investor that maximizes return and penalizes for amount of volatility and solves the optimization model with a statistical method suggested by Britten-Jones (1999). It is designed in a way to be dollar-and beta-neutral. In order to exploit the information of some of the return-predictive factors with
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Godbole, Swapnil. "Investigating The Relationship Between Mean Radiant Temperature (MRT) And Predicted Mean Vote (PMV) : A case study in a University building." Thesis, KTH, Installations- och energisystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235927.

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Thermal comfort in an indoor environment is largely dependent on the four environmental and two personal parameters which is most commonly measured by the Predicted Mean Vote (PMV) model developed by Fanger. It has been studied that variations in these parameters beyond a range could lead to discomfort complaints. However, little research has been done on the effect of mean radiant temperature variations and its influence on predicted mean vote and thermal comfort specially in an actual building environment. This study aims to investigate the relationship between mean radiant temperature and p
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Nassr, Husam, and Kurt Kosbar. "PERFORMANCE EVALUATION FOR DECISION-FEEDBACK EQUALIZER WITH PARAMETER SELECTION ON UNDERWATER ACOUSTIC COMMUNICATION." International Foundation for Telemetering, 2017. http://hdl.handle.net/10150/626999.

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This paper investigates the effect of parameter selection for the decision feedback equalization (DFE) on communication performance through a dispersive underwater acoustic wireless channel (UAWC). A DFE based on minimum mean-square error (MMSE-DFE) criterion has been employed in the implementation for evaluation purposes. The output from the MMSE-DFE is input to the decoder to estimate the transmitted bit sequence. The main goal of this experimental simulation is to determine the best selection, such that the reduction in the computational overload is achieved without altering the performance
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Books on the topic "Mean performance"

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J, Merhav Shmuel, and Ames Research Center, eds. Performance characteristics of an adaptive controller based on least-mean-square filters. National Aeronautics and Space Administration, Ames Research Center, 1987.

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Farnell, Brenda M. Do you see what I mean?: Plains Indian sign talk and the embodiment of action. University of Texas Press, 1995.

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Farnell, Brenda. Do you see what I mean?: Plains Indian sign talk and the embodiment of action. University of Texas Press, 1995.

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Farnell, Brenda M. Do you see what I mean?: Plains Indian sign talk and the embodiment of action. University of Nebraska Press, 2009.

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Yoe, Charles E. Lock rehabilitation, a public infrastructure problem: The value of increased productivity in mean lockage performance. U.S. Army Corps of Engineers, Water Resources Support Center, Institute for Water Resources, 1987.

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E, Ysseldyke James, and Educational Resources Information Center (U.S.), eds. Reporting school performance in the Maryland and Kentucky accountability systems: What scores mean and how they are used : the Maryland-Kentucky-NCEO Assessment Project. National Center on Educational Outcomes, University of Minnesota, 1997.

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Schneemann, Carolee. More than meat joy: Performance works and selected writings. 2nd ed. McPherson & Co., 1997.

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Grothum, Brigitte. Mein "Jedermann": Eine Berliner Theater-Geschichte. B&S Siebenhaar, 2006.

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Muñoz, Elías Miguel. The greatest performance. Arte Publico Press, 1991.

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Myers, Morton A. The national performance review: Ways, means and Massachusetts. John W. McCormack Institute of Public Affairs, University of Massachusetts Boston, 1994.

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Book chapters on the topic "Mean performance"

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Wang, Hai, and Kenneth C. Sevcik. "Experiments with Improved Approximate Mean Value Analysis Algorithms." In Computer Performance Evaluation. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-68061-6_23.

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Reiser, M. "Mean Value Analysis: A Personal Account." In Performance Evaluation: Origins and Directions. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-46506-5_22.

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Fourneau, Jean-Michel. "Mean Value Analysis of Closed G-Networks with Signals." In Computer Performance Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02227-3_4.

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Thomas, Nigel, and Yishi Zhao. "Mean Value Analysis for a Class of PEPA Models." In Computer Performance Engineering. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02924-0_5.

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Elliott, Matthew. "We play as we mean to resist." In The Routledge Companion to Applied Performance. Routledge, 2020. http://dx.doi.org/10.4324/9781351120142-32.

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De Nitto Personé, Vittoria, and Andrea Di Lonardo. "An Approximate Mean Value Analysis Approach for System Management and Overload Control." In Computer Performance Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40725-3_22.

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Alexander, S. Thomas. "The Mean Square Error (MSE) Performance Criteria." In Adaptive Signal Processing. Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4612-4978-8_2.

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Moffat, Alistair, and Justin Zobel. "What Does It Mean to “Measure Performance”?" In Web Information Systems – WISE 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30480-7_1.

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Mehic, Sandro, Kumiko Tadano, and Enrico Vicario. "Combining Simulation and Mean Field Analysis in Quantitative Evaluation of Crowd Evacuation Scenarios." In Computer Performance Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46433-6_12.

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Gribaudo, Marco. "Analysis of Large Populations of Interacting Objects with Mean Field and Markovian Agents." In Computer Performance Engineering. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02924-0_18.

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Conference papers on the topic "Mean performance"

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Ramachandran, Nivetha, and M. Thirumaran. "AI-Enhanced Pod Scheduling: Optimizing MERN and MEAN Stack Performance in Kubernetes." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011851.

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Eeckhout, Lieven. "R.I.P. Geomean Speedup Use Equal-Work (Or Equal-Time) Harmonic Mean Speedup Instead." In 2025 IEEE International Symposium on High Performance Computer Architecture (HPCA). IEEE, 2025. https://doi.org/10.1109/hpca61900.2025.00132.

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Arnez, Jussif J. Abularach, Isaac Barros Gomes, Fabrício Falcáo de Souza Oliveira, Lucas Cavalcante Tribuzy, Caio Pedrosa Galvao, and Jessica Da Silva Gomes. "Analysis of Intermediate Mean Opinion Score (MOS) and QoS in a High Definition Voice Call Conference in Mobile Networks." In 2024 IEEE International Performance, Computing, and Communications Conference (IPCCC). IEEE, 2024. https://doi.org/10.1109/ipccc59868.2024.10850455.

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Allmeier, Sebastian, and Nicolas Gast. "Mean Field and Refined Mean Field Approximations for Heterogeneous Systems." In SIGMETRICS/PERFORMANCE '22: ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems. ACM, 2022. http://dx.doi.org/10.1145/3489048.3522653.

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Gusi-Amigo, Adria, Pau Ciosas, and Luc Vandendorpe. "Mean square error performance of sample mean and sample median estimators." In 2016 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2016. http://dx.doi.org/10.1109/ssp.2016.7551739.

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Mashey, J. R. "Summarizing performance is no mean feat [computer performance analysis]." In Proceedings of the 2005 IEEE International Symposium on Workload Characterization. IEEE, 2005. http://dx.doi.org/10.1109/iiswc.2005.1525995.

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Hillston, Jane. "What does Performance Mean for Large Language Models?" In ICPE '24: 15th ACM/SPEC International Conference on Performance Engineering. ACM, 2024. http://dx.doi.org/10.1145/3629526.3649130.

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Eqbal, Shahid, Ayush Singh, Balkrishna Pandey, and Deepa Singh. "Evaluating student’s performance using k- mean clustering." In International Conference on Artificial Intelligence and Robotics. Machine Intelligence Research Group (MIRG), 2023. https://doi.org/10.52968/15061112.

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The analysis and evaluation of a student's academic achievement are now difficult tasks for the academic community to do. Classifying student achievement is a difficult scientific task in the actual world. Thus, a system to evaluate students’ performance utilizing a deterministic model and the k-means clustering algorithm is described in this study. The analysis findings will help academic planners determine how well students performed over a particular semester and what initiatives they need to take to raise students’ performance.
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Chen, Badong, Zhengda Qin, and Lei Sun. "Steady-state mean square performance of a sparsified kernel least mean square algorithm." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7952647.

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Shankar, Sonali, Bishal Dey Sarkar, Sai Sabitha, and Deepti Mehrotra. "Performance analysis of student learning metric using K-mean clustering approach K-mean cluster." In 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence). IEEE, 2016. http://dx.doi.org/10.1109/confluence.2016.7508140.

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Reports on the topic "Mean performance"

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MacKinnon, Robert J., and Kristopher L. Kuhlman. A Control Variate Method for Probabilistic Performance Assessment. Improved Estimates for Mean Performance Quantities of Interest. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1254272.

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Yoe, Charles E. Lock Rehabilitation, A Public Infrastructure Problem: The Value of Increased Productivity in Mean Lockage Performance. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada184386.

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Roy, Camille, Dominique Derome, and Caroline Frenette. Modelling hygrothermal performance of wood assemblies exposed to fungi growth. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541621854.

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This research project aims to document the spread of the biodegradation in wood frame buildings and, more specifically, to investigate the aggravating impact of the presence of the rotting fungus Serpula lacrymans in wood-based materials on the hygrothermal performance of wood-framed wall and floor assemblies. The proposed methodology is to calibrate a hygrothermal model of wood contaminated by varying stages of S. lacrymans. The S. lacrymans has a particular ability compared to other fungi in that it can move its water source to seek nutrients. Hyphen cords have been seen on brick and concret
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Conery, Ian, Nicholas Olsen, Shannon Brown, and Katherine Brodie. Quantifying coastal evolution and project performance at beaches by using satellite imagery. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48671.

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Accurately delineating the shoreline is crucial for tracking coastal evolution, community vulnerability, storm impacts, and for coastal management decision-making. However, existing shoreline measurement methods are often time-consuming and expensive and therefore, USACE Districts are often forced to narrow areas of interest or monitoring frequency, decreasing the likelihood of making data-driven management decisions, especially over regional scales. In the last decade, space-borne earth observations have captured images subweekly, and can potentially be used for shoreline monitoring. This wor
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Frisancho, Verónica, and Matteo Bobba. Learning about Oneself: The Effects of Performance Feedback on School Choice. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0011772.

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This paper designs and implements a field experiment that provides students from less advantaged backgrounds with individualized feedback on academicperformance during the transition from middle to high school. The intervention reduces the gap between expected and actual performance, as well as shrinks the variance of individual ability distributions. Guided by a simple Bayesian model, the paper empirically documents the interplay between variance reductions and mean changes of beliefs in shaping curricular choices. The shift in revealed preferences on high school tracks enabled by the interve
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Fisher, Andmorgan, Taylor Hodgdon, and Michael Lewis. Time-series forecasting methods : a review. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49450.

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Time-series forecasting techniques are of fundamental importance for predicting future values by analyzing past trends. The techniques assume that future trends will be similar to historical trends. Forecasting involves using models fit on historical data to predict future values. Time-series models have wide-ranging applications, from weather forecasting to sales forecasting, and are among the most effective methods of forecasting, especially when making decisions that involve uncertainty about the future. To evaluate forecast accuracy and to compare among models fitted to a time series, thre
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Morrison, Andrew, and Suzanne Duryea. The Effect of Conditional Transfers on School Performance and Child Labor: Evidence from an Ex-Post Impact Evaluation in Costa Rica. Inter-American Development Bank, 2004. http://dx.doi.org/10.18235/0011256.

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This study examines the impact of Superémonos, a conditional transfer program in Costa Rica, which provides poor families with a subsidy for the purchase of food conditional upon children regularly attending school. Using three different empirical techniques -simple comparison of mean outcomes, regression analysis and propensity score matching- the authors examine the program's impact on school attendance, performance in school and child labor. The authors found strong evidence that the program achieves its goal of improving school attendance and much weaker evidence regarding school performan
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Kunpanitchakit, Danuja, Duangsamorn Orapin, and Supol Durongwatana. Consistency of firm's performance evaluation and compensation plans with competitive strategy. Chulalongkorn University, 2004. https://doi.org/10.58837/chula.res.2004.25.

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According to “Contingency Theory” and several researches, there is no absolutely conclusive result to show that there is a best control system for all firms that fits all types of competitive strategy. Also, based on “Expentancy Theory” , in order to motivate employee, the compensation plans have to cover all performance measures that fully reflect employee’s effort. Hence, this case-based research is set up for the purpose of studying the consistency of firm’ s performance evaluation and compensation plans with competitive strategy. All 285 of MBA students at the Faculty of Commerce and Accou
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Ruosteenoja, Kimmo. Applicability of CMIP6 models for building climate projections for northern Europe. Finnish Meteorological Institute, 2021. http://dx.doi.org/10.35614/isbn.9789523361416.

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In this report, we have evaluated the performance of nearly 40 global climate models (GCMs) participating in Phase 6 of the Coupled Model Intercomparison Project (CMIP6). The focus is on the northern European area, but the ability to simulate southern European and global climate is discussed as well. Model evaluation was started with a technical control; completely unrealistic values in the GCM output files were identified by seeking the absolute minimum and maximum values. In this stage, one GCM was rejected totally, and furthermore individual output files from two other GCMs. In evaluating t
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Welch, David, and Gregory Deierlein. Technical Background Report for Structural Analysis and Performance Assessment (PEER-CEA Project). Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2020. http://dx.doi.org/10.55461/yyqh3072.

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This report outlines the development of earthquake damage functions and comparative loss metrics for single-family wood-frame buildings with and without seismic retrofit of vulnerable cripple wall and stem wall conditions. The underlying goal of the study is to quantify the benefits of the seismic retrofit in terms of reduced earthquake damage and repair or reconstruction costs. The earthquake damage and economic losses are evaluated based on the FEMA P-58 methodology, which incorporates detailed building information and analyses to characterize the seismic hazard, structural response, earthqu
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