Atsushi Saji, Eiji Konaka · IEEJ Transactions on Electronics Information and Systems · 2023
Eech ballpark has a different size in baseball. It could be easily imagined that there would be many home runs in a small ballpark. Park Factors (PF) are introduced in baseball to quantify the effect of each ballpark on the results (e.g., home runs). In this paper, we assume that each plate appearance can be modeled as a match-up between a batter against a pitcher with a ballpark. The effects of each ballpark will be distilled by using a logistic regression method. Numerical verification shows that the proposed method performs better than conventional PF. The verification is based on the results of more than 140 thousands plate appearances from the 2017 to 2021 Japanese Pacific League Baseball seasons.
Cited by 0
Jingxi Yang, Matthew Beatty, Dani Strickland et al. · Energies · 2023
There is increased talk about using second-life batteries in applications. In first-life applications, the batteries start from new, and a range of life cycle estimation techniques are applied. However, it is not clear how second-life batteries should be monitored compared to first life batteries. This paper investigated different algorithms from first-life applications for estimating and forecasting battery cell state of health in conjunction with capacity calculations using second life cells under long term durability testing. The paper looks at how close these models predict capacity fade based on a set of second-life batteries that have been undertaking sweat testing over six different applications. The paper concludes that there are two methods that could be suitable candidates for predicting lifespan. One of these needed to be modified from the original.
Cited by 11Open access
Sujala Kapoor, Umesh Kapil, Sada Nand Dwivedi et al. · PubMed · 2002
Cited by 46
David W. Walker, Geoff Parkin, Petra Schmitter et al. · Ground Water · 2018
Although most recharge estimation studies apply multiple methods to identify the possible range in recharge values, many do not distinguish clearly enough between inherent uncertainty of the methods and other factors affecting the results. We investigated the additional value that can be gained from multi-method recharge studies through insights into hydrogeological understanding, in addition to characterizing uncertainty. Nine separate groundwater recharge estimation methods, with a total of 17 variations, were applied at a shallow aquifer in northwest Ethiopia in the context of the potential for shallow groundwater resource development. These gave a wide range of recharge values from 45 to 814 mm/a. Critical assessment indicated that the results depended on what the recharge represents (actual, potential, minimum recharge or change in aquifer storage), and spatial and temporal scales, as well as uncertainties from application of each method. Important insights into the hydrogeological system were gained from this detailed analysis, which also confirmed that the range of values for actual recharge was reduced to around 280-430 mm/a. This study demonstrates that even when assumptions behind methods are violated, as they often are to some degree especially when data are limited, valuable insights into the hydrogeological system can be gained from application of multiple methods.
Cited by 104Open access
Liming Li, Jingxin Zhang, Xiao Xia Yuan · 2022
In order to compare the valuation accuracy of Bayesian D optimization method (DS method) and SenTest method, the DS method sensitivity experimental design study was carried out, and the experimental calculation process was established. The algorithm and valuation accuracy of Bayesian D optimization method and SenTest method are studied by simulation method. The results show that under the small sample size, the DS method can quickly obtain the mixing interval and quickly obtain the mean. At medium sample sizes, the SenTest method is more robust. Therefore, the DS method is more dependent on the prior information, and in the case of unfamiliar product parameters, the DS method is not advantageous to estimate the P response point.
Cited by 0
Lenus, The Irish Health Repository (Dr Steevens Hospital Library) · 2012
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Curtis A. Parvin · Clinical Chemistry · 1984
Least-squares regression estimation of the slope and intercept in method-comparison studies is the most common method of data evaluation despite well known theoretical difficulties with this approach. An alternative estimation technique has been suggested, which avoids some of these theoretical difficulties. I developed an exact mathematical relationship between these two slope estimates in order to directly compare their characteristics. A simple approximate formula for the relative difference between the two slope estimates is also derived. Using these mathematical relationships, I compare the two estimation techniques, using data from published method-comparison studies. In most of the published method comparisons the differences between slope estimates were trivial, but in some the differences were large enough to have warranted use of the alternative slope estimate.
Cited by 21
Inmook Lee (12936567), Shin-Hyung Cho (410331), Kyoungtae Kim (2315383) et al. · Figshare · 2022
<p>Comparison of the estimation results by the trip chain method and improved method.</p>
Cited by 0Open access
K. Wiener · Annals of Clinical Biochemistry International Journal of Laboratory Medicine · 1977
A new colorimetric method for the estimation of plasma paracetamol was slightly modified and compared with a standard spectrophotometric method. Good correlation and no significant difference was found between results by the two procedures. Precision, accuracy, and recovery by the colorimetric method were acceptable. On the other hand it is less susceptible than the spectrophotometric method to interference by certain other drugs. The speed and simplicity of the colorimetric method, together with its satisfactory performance, make it a worthwile alternative to the spectrophotometric procedure.
Cited by 8
Burak Bahar, Ayşe Fıtnat Tuncel, E W Holmes et al. · Clinical Biochemistry · 2017
Cited by 31
Harry Berghuis, T Herman Roebberss, Henk Nijmeijer · 1995
Comparative experiments with various parameter estimation methods in adaptive model-based robot control are presented. These experiments were performed on a two-DOF robot manipulator linked to a transputer-based processing environment. Key Words-Robotics; model-based control; adaptive control; parameter estimation. Abstmrt--In the literature on adaptive robot control a large variety of parameter estimation methods have been proposed, ranging from tracking-error-driven gradient methods to combined tracking- and prediction-error-driven least-squares type adaptation methods. This paper presents experimental data from a comparative study between these adaptation methods, performed on a two-degrees-of-freedom robot manipulator. Our results show that the prediction error concept is sensitive to unavoidable model uncertainties. We also demonstrate mpirically the fast convergence properties of least-squares adaptation relative to gradient approaches. However, in view of the noise sensitivity of the least-squares method, the marginal performance benefits, and the computational burden, we (cautiously) conclude that the tracking-error driven gradient method is preferred for parameter adaptation in robotic applications. 1.
Cited by 0
Albert H. Nuttall · 1989
Abstract : For a line array immersed in a stationary homogeneous noise field, the noise field directionality, at any temporal-frequency of interest, is estimated without any a priori assumptions about the field and without the limitations of ill-conditioning. The key to this development is the deferment of the inherent discretization associated with any array until after the integral equation for the noise field directionality has been solved in terms of the observed spatial correlation. Comparison with the Fourier series method reveals nearly identical results, except that the Fourier series method reveals nearly identical results, except that the Fourier series method has some inaccurate low-order Fourier coefficients. Also, no Bessel function evaluations are required for the new method proposed here; instead, one FFT suffices for approximate evaluation of the field directionality. However, neither procedure has the superresolution capability of some of the recent eigen-decomposition approaches. Keywords: Acoustic fields, Underwater acoustics; Acoustic arrays; Aliasing/smoothing; Fourier integral method; Equispaced line arrays.
Cited by 1
Sébastien Raymond, Alain Mailhot, Guillaume Talbot et al. · JAWRA Journal of the American Water Resources Association · 2013
Abstract Load estimates obtained using an approach based on statistical distributions with parameters expressed as a function of covariates (e.g., streamflow) (distribution with covariates hereafter called DC method) were compared to four load estimation methods: (1) flow‐weighted mean concentration; (2) integral regression; (3) segmented regression (the last two with Ferguson's correction factor); and (4) hydrograph separation methods. A total of 25 datasets (from 19 stations) of daily concentrations of total dissolved solids, nutrients, or suspended particulate matter were used. The selected stations represented a wide range of hydrological conditions. Annual flux errors were determined by randomly generating 50 monthly sample series from daily series. Annual and interannual biases and dispersions were evaluated and compared. The impact of sampling frequency was investigated through the generation of bimonthly and weekly surveys. Interannual uncertainty analysis showed that the performance of the DC method was comparable with those of the other methods, except for stations showing high hydrological variability. In this case, the DC method performed better, with annual biases lower than those characterizing the other methods. Results show that the DC method generated the smallest pollutant load errors when considering a monthly sampling frequency for rivers showing high variability in hydrological conditions and contaminant concentrations.
Cited by 3
Kunitake Suzuki, Lisa Katsuma · The Proceedings of the Annual Convention of the Japanese Psychological Association · 2023
Cited by 0Open access
Latha Shanmugam · International Journal of Software Engineering & Applications · 2012
During the past few Decades, many software reliability growth models have been suggested for estimating reliability of software as software reliability growth models. The Functions suggested were non-linear in nature, so it was difficult to estimate the proper parameters. An Estimation method based on Ant Colony Algorithm in which parameters are estimated is discussed in this paper. In this paper, Numerical examples which have been based on five sets of real failure data have been discussed Using existing methods viable solutions for some of the models and data sets cannot be obtained, where as in the proposed method, at least one solution can be obtained. The accuracy of the results using proposed method when compared with PSO algorithm has higher accuracy for at least 10 times for majority of the models
Cited by 20Open access
M. Harris · http://isrctn.com/ · 2017
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Dong Zhang, Zhang Wan-chang · 2005
Five different evapotranspiration (ET_0) estimation methods, namely: Penman-Monteith (PM), Pristley-Taylor (PT), Hargreaves, FAO Penman-Monteith (FAO PM) and De Bruin, have been used to evaluate the validity and precision of simulated ET_0 results with the observed meteorological data from 13 weather stations in upper Hanjiang basin. The objective of this article is to find the best method among them and made further improvement on it to get a higher simulation precision on ET_0 simulation in study area. Based on four analysis index study such as correlation coefficient, explanation variance (EV), Nash-Sutcliffe Criterion (NSC) and correlation curve slope for the simulated results and the real ones calculated by 20-cm evaporating dish values with evaporation pan coefficient, PM and FAO PM methods are thought of better methods to yield rather satisfied estimation among the five selected approaches for and FAO PM methods considered both energy balance and water vapor diffusive theory in ET_0 simulation model construction while other three methods only considered latter elements. But the results also showed that PM method was better in correlation coefficient and EV indexes while FAO PM method is better in NSC and correlation curve slope indexes. In order to find the most favorable method among them, detailed studies have been done and the results show that FAO PM method has some shortcomings in calculation of the middle-process parameters. For example the simulated saturated water vapor in FAO PM method is lower than observed real water vapor value and the calculated solar radiation is larger than observed one. These will bring errors for some sub-processes simulation in hydrological studies. Therefore, PM method is recommended as the best ET_0 estimation approach in upper Hanjiang basin. The final precision of ET_0 by PM approach is further improved by introducing elevation modification to the simulated results. The coefficient between correlation curve slope and station elevations has reached 0.966. After elevation modification the magnitude of simulated ET_0 can be very near to the observed pint-sized evapotranspiration value.
Cited by 4
Calistru, Cristina Andreea · reposiTUm (TU Wien) · 2020
To satisfy the requirements of users in buildings, the visual environment needs to meet certain conditions. Specifically, adequate illuminance levels must be maintained dependent on the rooms' function and usage. Toward this end, electrical lighting must be deployed in many instances. However, the use of electrical lighting and the associated electrical energy use can be reduced by appropriate utilization of daylight. To estimate, in a convenient manner, the electrical energy use for lighting in buildings, there are a number of simplified procedures. An example of such a procedure involves the use of the indicator LENI (Lighting Energy Numeric Indicator). Using this indicator, area-related electrical energy use can be calculated on a room-by-room basis. However, such procedures involve a significant number of simplifications with regard to building geometry, properties of relevant building components (e.g., windows, shading), climatic context and occupancy. In this context, the present master thesis has the purpose to explore the reliability of these procedures and calculation methods presented in the EN 15193 standard. Toward this end, this study compares for a sample of rooms (e.g., lecture room, office space) the results obtained by simplified and detailed calculation methods with results obtained using measurements, in view of electrical energy demand for lighting in buildings. The research results are expected to further define the degree to which simplified calculation results could deviate from more detailed estimations or measurements.
Cited by 0Open access
Tai‐Hsin Huang · 2002
We employ a wide range of parametric and non–parametric cost frontiers’ efficiency estimation methods to estimate economic efficiency and economies of scale, using the same panel data of 22 Taiwanese commercial banks over the period 1982–97. According to our empirical implementation, the two methodologies yield similar average efficiency estimates, yet they come to very dissimilar results pertaining to the efficiency rankings, the stability of measured efficiency over time, the consistency between frontier efficiency and conventional performance measures, and the estimates of scale economies. Thus, the choice of an estimation approach can result in very different conclusions and policy implications regarding cost efficiencies and cost economies. These findings suggest that making policy decisions and evaluations relies on multiple techniques and specifications.
Cited by 54
A W Mahyun, M Mohd Azrul Ismail, Mohd Zaini Makhtar Salwa et al. · IOP Conference Series Earth and Environmental Science · 2024
Abstract Missing rainfall data can cause the results of an analysis to be inaccurate. This study aims to compare the performance of different methods in estimating missing rainfall data and to evaluate the estimated missing rainfall data method on hydrograph estimation. The methods used to estimate missing rainfall data in three selected stations include the arithmetic mean (AM) method, the inverse squared distance (ISD) method, and replacing missing value with zero value (ZERO). The study employs root mean square error (RMSE) to assess the accuracy and reliability of the methods. The estimated rainfall data are then utilized in Stormwater Management Modelling Software 5 (SWMM5) to evaluate the data impact on the discharge estimation. The results indicated that the AM method is the best method to estimate missing rainfall data by considering the lowest RMSE value equal to 1.185. In conclusion, the comparison of missing rainfall data methods in this study has shed light on their performance in enhancing discharge estimation.
Cited by 1Open access