Academic literature on the topic 'Whittle method'

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Journal articles on the topic "Whittle method"

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Vyzhva, Z., V. Demidov, and A. Vyzhva. "STATISTICAL SIMULATION OF RANDOM FIELD ON 2D AREA WITH WHITTLE-MATERN TYPECORRELATION FUNCTION IN THE GEOPHYSICAL PROBLEM OF ENVIRONMENT MONITORING." Visnyk of Taras Shevchenko National University of Kyiv. Geology, no. 3 (86) (2019): 55–61. http://dx.doi.org/10.17721/1728-2713.86.08.

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Due to the increasing number of natural and technogenic disasters the development of geological environment monitoring system is actual one using modern mathematical tools and information technology. The local monitoring of potentially dangerous objects is an important part of the overall environment monitoring system. The complex geophysical research was conducted on Rivne NPP area. The monitoring observations radioisotope study of soil density and humidity near the perimeter of buildings is of the greatest interest among these. In this case a problem occurred to supplement simulated data that were received at the control of chalky strata density changes at the research industrial area with use of radioisotope methods on a grid that included 29 wells. This problem was solved in this work by statistical simulation method that provides the ability to display values (the random field of a research object on a plane) in any point of the monitoring area. The chalk strata averaged density at the industrial area was simulated using the built model and the involvement optimal in the mean square sense Whittle-Matern type correlation function. In this paper the method is used and the model and procedure were developed with enough adequate data for Whittle-Matern type correlation function. The model and algorithm were developed and examples of karst-suffusion phenomena statistical simulation were given in the problem of density chalk strata monitoring at the Rivne NPP area. The statistical model of averaged density chalk strata distribution was built in the plane and statistical simulation algorithm was developed using Whittle-Matern type correlation function on the basis of spectral decomposition. The research subject realizations were obtained with required detail and regularity at the observation grid based on the developed software. Statistical analysis of the numerical simulation results was done and tested for its adequacy.
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Marques, G. O. L. C. "Empirical aspects of the Whittle-based maximum likelihood method in jointly estimating seasonal and non-seasonal fractional integration parameters." Physica A: Statistical Mechanics and its Applications 390, no. 1 (2011): 8–17. http://dx.doi.org/10.1016/j.physa.2010.09.007.

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Niño-Mora, José. "A Fast-Pivoting Algorithm for Whittle’s Restless Bandit Index." Mathematics 8, no. 12 (2020): 2226. http://dx.doi.org/10.3390/math8122226.

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The Whittle index for restless bandits (two-action semi-Markov decision processes) provides an intuitively appealing optimal policy for controlling a single generic project that can be active (engaged) or passive (rested) at each decision epoch, and which can change state while passive. It further provides a practical heuristic priority-index policy for the computationally intractable multi-armed restless bandit problem, which has been widely applied over the last three decades in multifarious settings, yet mostly restricted to project models with a one-dimensional state. This is due in part to the difficulty of establishing indexability (existence of the index) and of computing the index for projects with large state spaces. This paper draws on the author’s prior results on sufficient indexability conditions and an adaptive-greedy algorithmic scheme for restless bandits to obtain a new fast-pivoting algorithm that computes the n Whittle index values of an n-state restless bandit by performing, after an initialization stage, n steps that entail (2/3)n3+O(n2) arithmetic operations. This algorithm also draws on the parametric simplex method, and is based on elucidating the pattern of parametric simplex tableaux, which allows to exploit special structure to substantially simplify and reduce the complexity of simplex pivoting steps. A numerical study demonstrates substantial runtime speed-ups versus alternative algorithms.
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Cowan, Richard. "Expected frequencies of DNA patterns using whittle's formula." Journal of Applied Probability 28, no. 4 (1991): 886–92. http://dx.doi.org/10.2307/3214691.

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Given a realisation of a Markov chain, one can count the numbers of state transitions of each type. One can ask how many realisations are there with these transition counts and the same initial state. Whittle (1955) has answered this question, by finding an explicit though complicated formula, and has also shown that each realisation is equally likely. In the analysis of DNA sequences which comprise letters from the set {A, C, G, T}, it is often useful to count the frequency of a pattern, say ACGCT, in a long sequence and compare this with the expected frequency for all sequences having the same start letter and the same transition counts (or ‘dinucleotide counts' as they are called in the molecular biology literature). To date, no exact method exists; this paper rectifies that deficiency.
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Cowan, Richard. "Expected frequencies of DNA patterns using whittle's formula." Journal of Applied Probability 28, no. 04 (1991): 886–92. http://dx.doi.org/10.1017/s0021900200042790.

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Given a realisation of a Markov chain, one can count the numbers of state transitions of each type. One can ask how many realisations are there with these transition counts and the same initial state. Whittle (1955) has answered this question, by finding an explicit though complicated formula, and has also shown that each realisation is equally likely. In the analysis of DNA sequences which comprise letters from the set {A, C, G, T}, it is often useful to count the frequency of a pattern, say ACGCT, in a long sequence and compare this with the expected frequency for all sequences having the same start letter and the same transition counts (or ‘dinucleotide counts' as they are called in the molecular biology literature). To date, no exact method exists; this paper rectifies that deficiency.
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Sun, Lianwei, Zhong-chao Li, and Rong-zhu Liang. "Simplified Analytical Method for Predicting the Lateral Ground Displacements due to Shield Tunnelling." Advances in Civil Engineering 2021 (June 21, 2021): 1–10. http://dx.doi.org/10.1155/2021/5524557.

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Earth pressure balance or slurry shield tunnelling will squeeze the subsoils and lead to lateral outward ground displacement. However, current methods to estimate the shield tunnelling-induced ground displacements generally use the methods based on the face unsupported tunnelling (e.g., New Austrian tunnelling and open shield excavation), which cannot predict the lateral ground movement due to shield tunnelling. In this paper, a novel simplified analytical method is proposed to predict the ground lateral displacement during the shield advancing process. The key shield tunnelling operation factors, including the additional pressure of cutter head, the friction forces around shield body, the back-fill grouting pressure, and the soil volume loss are all considered. The lateral ground displacements induced by the four former factors are calculated by using Mindlin’s solutions. The soil volume loss-induced lateral ground displacement is calculated by employing the expression introduced by Pinto and Whittle. Combining with the displacement obtained from all the factors, the analytical method for lateral ground displacement induced by shield tunnelling is obtained. The applicability of the proposed analytical approach is verified with three well-documented case histories involving slurry shield and EPB shield machines.
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Niño-Mora, José. "Fast Two-Stage Computation of an Index Policy for Multi-Armed Bandits with Setup Delays." Mathematics 9, no. 1 (2020): 52. http://dx.doi.org/10.3390/math9010052.

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We consider the multi-armed bandit problem with penalties for switching that include setup delays and costs, extending the former results of the author for the special case with no switching delays. A priority index for projects with setup delays that characterizes, in part, optimal policies was introduced by Asawa and Teneketzis in 1996, yet without giving a means of computing it. We present a fast two-stage index computing method, which computes the continuation index (which applies when the project has been set up) in a first stage and certain extra quantities with cubic (arithmetic-operation) complexity in the number of project states and then computes the switching index (which applies when the project is not set up), in a second stage, with quadratic complexity. The approach is based on new methodological advances on restless bandit indexation, which are introduced and deployed herein, being motivated by the limitations of previous results, exploiting the fact that the aforementioned index is the Whittle index of the project in its restless reformulation. A numerical study demonstrates substantial runtime speed-ups of the new two-stage index algorithm versus a general one-stage Whittle index algorithm. The study further gives evidence that, in a multi-project setting, the index policy is consistently nearly optimal.
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Numapau Gyamfi, Emmanuel, Kwabena A. Kyei, and Ryan Gill. "Long-memory in asset returns and volatility: evidence from West Africa." Investment Management and Financial Innovations 13, no. 2 (2016): 24–28. http://dx.doi.org/10.21511/imfi.13(2).2016.03.

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This paper measures the degree of long-memory or long-range dependence in asset returns and volatility of two stock indices in Ghana and Nigeria. The presence of long-memory opens up opportunities for abnormal returns to be made by analyzing price history of a particular market. The authors employ the Hurst exponent to measure the degree of long-memory which is evaluated by a semiparametric method, the Local Whittle estimator. The findings show strong evidence of the presence of long-memory in both returns and volatility of the indices studied, suggesting that neither of the markets in Ghana and Nigeria is weak-form efficient
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Poskitt, D. S., Gael M. Martin, and Simone D. Grose. "BIAS CORRECTION OF SEMIPARAMETRIC LONG MEMORY PARAMETER ESTIMATORS VIA THE PREFILTERED SIEVE BOOTSTRAP." Econometric Theory 33, no. 3 (2016): 578–609. http://dx.doi.org/10.1017/s0266466616000050.

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This paper investigates bootstrap-based bias correction of semiparametric estimators of the long memory parameter, d, in fractionally integrated processes. The re-sampling method involves the application of the sieve bootstrap to data prefiltered by a preliminary semiparametric estimate of the long memory parameter. Theoretical justification for using the bootstrap technique to bias adjust log periodogram and semiparametric local Whittle estimators of the memory parameter is provided in the case where the true value of d lies in the range 0 ≤ d < 0.5. That the bootstrap method provides confidence intervals with the correct asymptotic coverage is also proven, with the intervals shown to adjust explicitly for bias, as estimated via the bootstrap. Simulation evidence comparing the performance of the bootstrap bias correction with analytical bias-correction techniques is presented. The bootstrap method is shown to produce notable bias reductions, in particular when applied to an estimator for which some degree of bias reduction has already been accomplished by analytical means.
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Liu, Y., D. Liu, Y. Du, et al. "Calculated interdiffusivities resulting from different fitting functions applied to measured concentration profiles in Cu-rich fcc Cu-Ni-Sn alloys at 1073 K." Journal of Mining and Metallurgy, Section B: Metallurgy 53, no. 3 (2017): 255–62. http://dx.doi.org/10.2298/jmmb170626022l.

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Employing six groups of bulk diffusion couples together with electron probe microanalysis technique, the compositiondependences of ternary interdiffusion coefficients in Cu-rich fcc Cu-Ni-Sn alloys at 1073 K were determined via the Whittle and Green method. Different fitting functions applied to the measured concentration profiles are utilized to extract the interdiffusion coefficients of fcc Cu-Ni-Sn alloys. The errors for the obtained interdiffusivities are evaluated by a scientific method considering the error propagation. The calculated diffusion coefficients using the Boltzmann and additive Boltzmann functions are found to be with reasonable errors and show a general agreement with those using other fitting functions. Based on the Boltzmann and additive Boltzmann functions, the interdiffusivities in Cu-rich fcc Cu-Ni-Sn alloys at 1073 K are obtained and validated by thermodynamic constraints. The Boltzmann and additive Boltzmann functions are recommended to be used for the fitting of measured concentration profiles in other ternary systems for the sake of extracting ternary diffusivities.
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Dissertations / Theses on the topic "Whittle method"

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Tang, Shuhan. "Spectral Analysis Using Multitaper Whittle Methods with a Lasso Penalty." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1586863604571678.

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Cisse, Papa Ousmane. "Étude de modèles spatiaux et spatio-temporels." Thesis, Paris 1, 2018. http://www.theses.fr/2018PA01E060/document.

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Ce travail porte sur les séries spatiales. On étudie les phénomènes dont l’observation est un processus aléatoire indexé par un ensemble spatial. Dans cette thèse on s’intéresse aux données bidimensionnelles régulièrement dispersées dans l’espace, on travaille alors dans un rectangle régulier (sur Z2) . Cette modélisation vise donc à construire des représentations des systèmes suivant leurs dimensions spatiales et à ses applications dans de nombreux domaines tels que la météorologie, l’océanographie, l’agronomie, la géologie, l’épidémiologie, ou encore l’économétrie etc. La modélisation spatiale permet d’aborder la question importante de la prédiction de la valeur d’un champ aléatoire en un endroit donné d’une région. On suppose que la valeur à prédire dépend des observations dans les régions voisines. Ceci montre la nécessité de tenir compte, en plus de leurs caractéristiques statistiques, des relations de dépendance spatiale entre localisations voisines, pour rendre compte de l’ensemble des structures inhérentes aux données. Dans la plupart des champs d’applications, on est souvent confronté du fait que l’une des sources majeures de fluctuations est la saisonnalité. Dans nos travaux on s’intéresse particulièrement à ce phénomène de saisonnalité dans les données spatiales. Faire une modélisation mathématique en tenant en compte l’interaction spatiale des différents points ou localités d’une zone entière serait un apport considérable. En effet un traitement statistique qui prendrait en compte cet aspect et l’intègre de façon adéquat peut corriger une perte d’information, des erreurs de prédictions, des estimations non convergentes et non efficaces<br>This thesis focuses on the time series in addition to being observed over time, also have a spatial component. By definition, a spatiotemporal phenomenon is a phenomenon which involves a change in space and time. The spatiotemporal model-ling therefore aims to construct representations of systems taking into account their spatial and temporal dimensions. It has applications in many fields such as meteorology, oceanography, agronomy, geology, epidemiology, image processing or econometrics etc. It allows them to address the important issue of predicting the value of a random field at a given location in a region. Assume that the value depends predict observations in neighbouring regions. This shows the need to consider, in addition to their statistical characteristics, relations of spatial dependence between neighbouring locations, to account for all the inherent data structures. In the exploration of spatiotemporal data, refinement of time series models is to explicitly incorporate the systematic dependencies between observations for a given region, as well as dependencies of a region with neighboring regions. In this context, the class of spatial models called spatiotemporal auto-regressive models (Space-Time Autoregressive models) or STAR was introduced in the early 1970s. It will then be generalized as GSTAR model (Generalized Space-Time Autoregressive models). In most fields of applications, one is often confronted by the fact that one of the major sources of fluctuations is seasonality. In our work we are particularly interested in the phenomenon of seasonality in spatiotemporal data. We develop a new class of models and investigates the properties and estimation methods. Make a mathematical model taking into account the spatial inter-action of different points or locations of an entire area would be a significant contribution. Indeed, a statistical treatment that takes into account this aspect and integrates appropriate way can correct a loss of information, errors in predictions, non-convergent and inefficient estimates
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DeYoung, Clara. "Biomass Estimation Using the Component Ratio Method for White Oak." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/50421.

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With higher demands on biomass, the ability to accurately estimate the amount in a stand is more important now than ever before. Existing models currently in use by the Forest Inventory and Analysis (FIA) program of the United States Department of Agriculture (USDA) Forest Service include the Component Ratio Method (CRM). However, testing of the CRM models is needed to validate and calibrate them. The objective of this research was to test and develop a system of equations capable of producing consistent volume and biomass estimates for standing trees of commercially important hardwood species in the southeastern United States. Testing and comparing was done through use of new and legacy data to establish component ratios of trees and contrast these results to those from existing models. Specifically, analyses were completed for models of merchantable and whole stem volume, wood densities models and averages, and the component ratios for wood, bark, branches, and foliage. The existing models were then calibrated and adjusted. Results on accuracy and fitted results of updated models are reported, along with testing the effects of applying updated models over the state of Virginia.<br>Master of Science
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Langdon, Christopher A. "A comparison of white-tailed deer population estimation methods in West Virginia." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2223.

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Thesis (M.S.)--West Virginia University, 2001.<br>Title from document title page. Document formatted into pages; contains xi, 119 p. : ill. Includes abstract. Includes bibliographical references (p. 108-119).
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Tewolde, Finnan, and Jiahui Zhang. "Advanced Monte Carlo methods for the Hull–White model." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-39818.

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Pumprová, Zuzana. "Valuation Methods of Interest Rate Options." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-73665.

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The subject of this thesis are selected interest rate models and valuation of interest rate derivatives, especially interest rate options. Time-homogeneous one-factor short rate models, Vasicek and Cox-Ingersoll-Ross, and time-inhomogeneous short rate model, Hull{White, are treated. Heath-Jarrow-Morton framework is introduced as an alternative to short rate models, evolving the entire term structure of interest rates. The short rate models are shown to be special cases of models within the framework. The models are derived using the risk-neutral pricing methodology.
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Lin, Xinyan. "Swaption Pricing under Hull-White Model using Finite Difference Method with Extension to European Cancellable Swap : Swaption Pricing under Hull-White Model using Finite Difference Method with Extension to European Cancellable Swap." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-27471.

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This thesis mainly focuses on analyzing and pricing European swaption via Crank{Nicolson Finite Dierence method. This paper begins with some rather common instruments, denitions and valuations are also provided. MATLAB is the main computer language used throughout this paper, for the numerical examples, the MATLAB codes are also provide in the appendix in order for reader to reproduce the result. Also, the paper extends to price cancellable swap in the end.
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Kruger, Linda Everett. "Understanding place as a cultural system : implications of theory and method /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/5510.

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Park, Jaesang. "Automatic white blood cell differentiation /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3074435.

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Harrison, Ian Spencer. "Detecting White Layer in Hard Turned Components Using Non-Destructive Methods." Thesis, Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6982.

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Hard turning is a machining process where a single point cutting tool removes material harder than 45 HRC from a rotating workpiece. Due to the advent of polycrystalline cubic boron nitride (PCBN) cutting tools and improved machine tool designs, hard turning is an attractive alternative to grinding for steel parts within the range of 58-68 HRC, such as bearings. There is reluctance in industry to adopt hard turning because of a defect called white layer. White layer is a hard, 1-5 쭠deep layer on the surface of the specimen that resists etching and therefore appears white on a micrograph. When aggressive cutting parameters are used, even using a new tool, white layer is expected. If more conservative parameters are selected, one does not expect white layer. There is some debate if white layer actually decreases the strength or fatigue life of a part, but nevertheless it is not well understood and therefore is avoided. This research examines the use of two different non-destructive evaluation (NDE) sensors to detect white layer in hard turned components. The first, called a Barkhausen sensor, is an NDE instrument that works by applying a magnetic field to a ferromagnetic metal and observing the induced electrical field. The amplitude of the signal produced by the induced electrical field is affected by the hardness of the material and surface residual stresses. This work also examines the electrochemical properties of white layer defects using electrochemical impedance spectroscopy. This idea is verified by measuring the electrochemical potential of surfaces with white layer and comparing to surfaces without any. Further corrosion tests using the electrochemical impedance spectroscopy method indicate that parts with white layer have a higher corrosion rate. The goal of this study is to determine if it is possible to infer white layer thickness reliably using either the Barkhausen sensor or electrochemical impedance spectroscopy (EIS). Measurements from both sensors are compared with direct observation of the microstructure in order to determine if either sensor can reliably detect the presence of white layer.
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Books on the topic "Whittle method"

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Moran, William B. Investigative methods for white collar crime. Loompanics Unlimited, 1985.

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Whitetail addicts manual: Proven methods for hunting trophy whitetails. Creative Pub. International, 2007.

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Walsh, Marianne E. Method for producing performance evaluation soil/sediment samples for white phosphorus analysis. US Army Corps of Engineers, Cold Regions Research & Engineering Laboratory, 1996.

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Bowring, Dave. Bowhunting for whitetails: Your best methods for taking North America's favorite deer. Stackpole Books, 1985.

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Zhang, Zhongqiang, and George Em Karniadakis. Numerical Methods for Stochastic Partial Differential Equations with White Noise. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57511-7.

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The new comparative method: Structural and symbolic analysis of the allomotifs of Snow White. Suomalainen Tiedeakatemia, Academia Scientiarum Fennica, 1990.

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Sellin, Burkart. The EC programme "Comparability of vocational training qualifications": Aims, working methods, evaluation. CEDEFOP--European Centre for the Development of Vocational Training, 1991.

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Carey, Patsy. A literature unit for Charlotte's web by E.B. White. Teacher Created Materials, 1993.

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Carey, Patsy. A literature unit for Charlotte's web by E.B. White. Teacher CreatedMaterials, 1993.

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Funkhouser, Jaysson E. Simulations of floodflows on the White River in the vicinity of U.S. Highway 79 near Clarendon, Arkansas. U.S. Dept. of the Interior, U.S. Geological Survey, 2003.

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Book chapters on the topic "Whittle method"

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Bettez, Silvia Cristina. "Exposing Methods and Positionality." In But Don’t Call Me White. SensePublishers, 2012. http://dx.doi.org/10.1007/978-94-6091-693-9_1.

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Euchner, F., K. Beuermann, K. Reinsch, S. Jordan, F. V. Hessman, and B. T. Gänsicke. "Zeeman Tomography of Magnetic White Dwarfs: General Method and Application to EF Eridani." In White Dwarfs. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-010-0215-8_58.

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D’Amato, Anthony, and Matthieu Boussard. "Forgetting Methods for White Box Learning." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40159-1_19.

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Dzhaparidze, K. "Estimation of Parameters by Means of P. Whittle’s Method." In Springer Series in Statistics. Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4612-4842-2_3.

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Zhang, Zhongqiang, and George Em Karniadakis. "Comparison between Wiener chaos methods and stochastic collocation methods." In Numerical Methods for Stochastic Partial Differential Equations with White Noise. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57511-7_8.

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Thalmann, Sébastien, Cristiana E. Juge-Aubry, and Christoph A. Meier. "Explant Cultures of White Adipose Tissue." In Methods in Molecular Biology. Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-245-8_14.

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Pelsser, Antoon. "The Hull-White Model." In Efficient Methods for Valuing Interest Rate Derivatives. Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-3888-4_5.

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Ogawa, Haruko, and Kimie Date. "The “White Kidney Bean Incident” in Japan." In Methods in Molecular Biology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1292-6_3.

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Jarabo-Amores, P., R. Gil-Pita, M. Rosa-Zurera, and F. López-Ferreras. "MLP and RBFN for detecting white gaussian signals in white gaussian interference." In Artificial Neural Nets Problem Solving Methods. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44869-1_100.

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von Waldenfels, W. "The Method of Quantum Jumps and Quantum White Noise." In Modern Challenges in Quantum Optics. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45409-8_18.

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Conference papers on the topic "Whittle method"

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Sheng, Hu, and YangQuan Chen. "Robustness Analysis of the Estimators for Noisy Long-Range Dependent Time Series." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86866.

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Processes with long-range correlations or called long-range dependent (LRD) processes are all around us in nature. The presence and nature of LRD is characterized by the Hurst parameter (0 &amp;lt; H &amp;lt; 1). The aim of this paper is to make a practical analysis of the robustness of the Hurst parameter estimators. A simple model of exactly self-similar process-Fractional Gaussian noise (FGN) with parameter H ∈ (0, 1) is applied to evaluate Hurst parameter estimators. The white Gaussian noise or the Symmetric α-stable (SαS) noise is superimposed in order to evaluate the reliability and the robustness of different estimators. In this paper, six statistic analysis methods, R/S statistic, Aggregated Variance method, Absolute Value method, Residuals of Regression method, Periodogram method, and Whittle method are analyzed. It follows from the comparison that the Variance of Residuals method is almost unbiased for non-noise LRD processes. And the Whittle method has best robustness to Symmetric α-stable (SαS) noisy LRD processes. The robustness analysis has practical value for analyzing noisy LRD time series, especially for the economic data, under water signal, biomedical signal and the communication signal which are corrupted by impulsive noise.
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Calvert, W. John. "An Inviscid-Viscous Method to Model Leading Edge Separation Bubbles." In ASME 1994 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/94-gt-247.

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Separation bubbles are likely to occur near the leading edges of sharp-edged blade sections in axial compressors and turbines, particularly when the sections are operated at positive incidence. Typically the flow reattaches a short distance from the leading edge as a turbulent boundary layer, the thickness of which depends on the details of the separation bubble. The overall performance of the blade section can be significantly affected by the thickness of this initial boundary layer — in some cases blade stall is mainly associated with the change in thickness of the layer as blade incidence is increased. A recent experimental study at the Whittle Laboratory, Cambridge demonstrated the importance of the blade leading edge shape on the separation bubble. In the present work, an inviscid-viscous method has been set up to model the experimental data and to provide a way of predicting the performance of this critical region for different leading edge shapes.
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Gro¨nstedt, Tomas. "Least Squares Based Transient Nonlinear Gas Path Analysis." In ASME Turbo Expo 2005: Power for Land, Sea, and Air. ASMEDC, 2005. http://dx.doi.org/10.1115/gt2005-68717.

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A method for computing least squares estimates for transient nonlinear gas path analysis is derived. The solution to the optimal estimation problem is found by solving a system of nonlinear equations. A single iteration of the equation system requires integrating an extended set of nonlinear ordinary differential algebraic equations (ODAE). The additional differential equations originate from the differentiation of the least squares expression used to define optimality. The numerical efficiency of the extended ODAE algorithm is assessed by comparing it to an optimization based method. To illustrate the derived estimation technique a complete model of the Frank Whittle W1 engine is given within the paper. An example of the implementation of the extended ODAE method is demonstrated in the framework of this model. The performance of the method is also discussed and evaluated on a full nonlinear transient model of the RM12 fighter engine.
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Biswas, Arpita, Gaurav Aggarwal, Pradeep Varakantham, and Milind Tambe. "Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/556.

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In many public health settings, it is important for patients to adhere to health programs, such as taking medications and periodic health checks. Unfortunately, beneficiaries may gradually disengage from such programs, which is detrimental to their health. A concrete example of gradual disengagement has been observed by an organization that carries out a free automated call-based program for spreading preventive care information among pregnant women. Many women stop picking up calls after being enrolled for a few months. To avoid such disengagements, it is important to provide timely interventions. Such interventions are often expensive and can be provided to only a small fraction of the beneficiaries. We model this scenario as a restless multi-armed bandit (RMAB) problem, where each beneficiary is assumed to transition from one state to another depending on the intervention. Moreover, since the transition probabilities are unknown a priori, we propose a Whittle index based Q-Learning mechanism and show that it converges to the optimal solution. Our method improves over existing learning-based methods for RMABs on multiple benchmarks from literature and also on the maternal healthcare dataset.
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Taylor, J. V., B. Conduit, A. Dickens, C. Hall, M. Hillel, and R. J. Miller. "Predicting the Operability of Damaged Compressors Using Machine Learning." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91339.

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Abstract The application of machine learning to aerospace problems faces a particular challenge. For successful learning a large amount of good quality training data is required, typically tens of thousands of cases. However, due to the time and cost of experimental aerospace testing, this data is scarce. This paper shows that successful learning is possible with two novel techniques: The first technique is rapid testing. Over the last five years the Whittle Laboratory has developed a capability where rebuild and test times of a compressor stage now take 15 minutes instead of weeks. The second technique is to base machine learning on physical parameters, derived from engineering wisdom developed in industry over many decades. The method is applied to the important industry problem of predicting the effect of blade damage on compressor operability. The current approach has high uncertainty, it is based on human judgement and correlation of a handful of experimental test cases. It is shown using 100 training cases and 25 test cases that the new method is able to predict the operability of damaged compressor stages with an accuracy of 2% in a 95% confidence interval; far better than is possible by even the most experienced compressor designers. Use of the method is also shown to generate new physical understanding, previously unknown by any of the experts involved in this work. Using this method in the future offers an exciting opportunity to generate understanding of previously intractable problems in aerospace.
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Sayres, Conor, John P. Subasavage, P. Bergeron, et al. "Multi-Survey and Statistical Methods for Cool White Dwarf Discovery." In 17TH EUROPEAN WHITE DWARF WORKSHOP. AIP, 2010. http://dx.doi.org/10.1063/1.3527799.

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Léandre, R., Piotr Kielanowski, S. Twareque Ali, Anatol Odzijewicz, Martin Schlichenmaier, and Theodore Voronov. "A Poisson Structure in White-Noise Analysis." In XXVIII WORKSHOP ON GEOMETRICAL METHODS IN PHYSICS. AIP, 2009. http://dx.doi.org/10.1063/1.3275583.

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Kleinmann, Johanna, Phil Green, Will Eve, and Lindsay MacDonald. "White ink, measurement methods." In Electronic Imaging 2008, edited by Reiner Eschbach, Gabriel G. Marcu, and Shoji Tominaga. SPIE, 2008. http://dx.doi.org/10.1117/12.771109.

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Yum, Ji Young, Hyun Hee Park, Seul Ki Jang, et al. "White constancy method for mobile displays." In IS&T/SPIE Electronic Imaging, edited by Nitin Sampat, Radka Tezaur, Sebastiano Battiato, and Boyd A. Fowler. SPIE, 2014. http://dx.doi.org/10.1117/12.2041405.

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Banic, Nikola, and Sven Loncaric. "Improving the white patch method by subsampling." In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014. http://dx.doi.org/10.1109/icip.2014.7025121.

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Reports on the topic "Whittle method"

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Wright, Kirsten. Collecting Plant Phenology Data In Imperiled Oregon White Oak Ecosystems: Analysis and Recommendations for Metro. Portland State University, 2020. http://dx.doi.org/10.15760/mem.64.

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Highly imperiled Oregon white oak ecosystems are a regional conservation priority of numerous organizations, including Oregon Metro, a regional government serving over one million people in the Portland area. Previously dominant systems in the Pacific Northwest, upland prairie and oak woodlands are now experiencing significant threat, with only 2% remaining in the Willamette Valley in small fragments (Hulse et al. 2002). These fragments are of high conservation value because of the rich biodiversity they support, including rare and endemic species, such as Delphinium leucophaeum (Oregon Department of Agriculture, 2020). Since 2010, Metro scientists and volunteers have collected phenology data on approximately 140 species of forbs and graminoids in regional oak prairie and woodlands. Phenology is the study of life-stage events in plants and animals, such as budbreak and senescence in flowering plants, and widely acknowledged as a sensitive indicator of environmental change (Parmesan 2007). Indeed, shifts in plant phenology have been observed over the last few decades as a result of climate change (Parmesan 2006). In oak systems, these changes have profound implications for plant community composition and diversity, as well as trophic interactions and general ecosystem function (Willis 2008). While the original intent of Metro’s phenology data-collection was to track long-term phenology trends, limitations in data collection methods have made such analysis difficult. Rather, these data are currently used to inform seasonal management decisions on Metro properties, such as when to collect seed for propagation and when to spray herbicide to control invasive species. Metro is now interested in fine-tuning their data-collection methods to better capture long-term phenology trends to guide future conservation strategies. Addressing the regional and global conservation issues of our time will require unprecedented collaboration. Phenology data collected on Metro properties is not only an important asset for Metro’s conservation plan, but holds potential to support broader research on a larger scale. As a leader in urban conservation, Metro is poised to make a meaningful scientific contribution by sharing phenology data with regional and national organizations. Data-sharing will benefit the common goal of conservation and create avenues for collaboration with other scientists and conservation practitioners (Rosemartin 2013). In order to support Metro’s ongoing conservation efforts in Oregon white oak systems, I have implemented a three-part master’s project. Part one of the project examines Metro’s previously collected phenology data, providing descriptive statistics and assessing the strengths and weaknesses of the methods by which the data were collected. Part two makes recommendations for improving future phenology data-collection methods, and includes recommendations for datasharing with regional and national organizations. Part three is a collection of scientific vouchers documenting key plant species in varying phases of phenology for Metro’s teaching herbarium. The purpose of these vouchers is to provide a visual tool for Metro staff and volunteers who rely on plant identification to carry out aspects of their job in plant conservation. Each component of this project addresses specific aspects of Metro’s conservation program, from day-to-day management concerns to long-term scientific inquiry.
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Ross, Mitchell G., Richard W. Webster, Hannah Reed, et al. Improved Screening Method for Genetic Resistance to White Mold (Sclerotinia stem rot) in Soybean. Crop Protection Network, 2021. http://dx.doi.org/10.31274/cpn-20210318-1.

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Deshpande, Anirudha, Boris Kolodin, Cherian Jacob, et al. Development of Advanced Manufacturing Methods for Warm White LEDs for General Lighting. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1084481.

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van Hees, Willem W. S. An analytical method to assess spruce beetle impacts on white spruce resources, Kenai Peninsula, Alaska. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1992. http://dx.doi.org/10.2737/pnw-rp-446.

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Morris, Christopher, J. Matthew Durham, Elena Guardincerri, et al. A new method of passive counting of nuclear missile warheads -a white paper for the Defense Threat Reduction Agency. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1207736.

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Unwin, Stephen D., Artyom Sadovsky, E. C. Sullivan, and Richard M. Anderson. Risk-Informed Monitoring, Verification and Accounting (RI-MVA). An NRAP White Paper Documenting Methods and a Demonstration Model for Risk-Informed MVA System Design and Operations in Geologic Carbon Sequestration. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1052957.

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Exploring the Prospects of Using 3D Printing Technology in the South African Human Settlements. Academy of Science of South Africa (ASSAf), 2021. http://dx.doi.org/10.17159/assaf.2021/0074.

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South Africa is a country with significant socio-economic development challenges, with the majority of South Africans having limited or non-existent access to basic infrastructure, services, housing and socio-economic opportunities etc. The urban housing backlog currently exceeds 2.4 million houses, with many families living in informal settlements. The Breaking New Grounds Policy, 2014 for the creation of sustainable human settlements, acknowledges the challenges facing human settlements, such as, decreasing human settlements grants allocation, increasing housing backlog, mushrooming of informal settlements and urbanisation. The White Paper on Science, Technology and Innovation (STI), 2019 notes that South Africa has not yet fully benefited from the potential of STI in addressing the socio-economic challenges and seeks to support the circular economy principles which entail a systematic change of moving to a zero or low waste resource-efficient society. Further to this, the Science and Technology Roadmap’s intention is to unlock the potential of South Africa’s human settlements for a decent standard of living through the smart uptake of science, technology and innovation. One such novel technology is the Three-Dimensional (3D) printing technology, which has produced numerous incredible structures around the world. 3D printing is a computer-controlled industrial manufacturing process which encompasses additive means of production to create 3D shapes. The effects of such a technology have a potential to change the world we live in and could subsequently pave the roadmap to improve on housing delivery and reduce the negative effects of conventional construction methods on the environment. To this end, the Academy of Science of South Africa (ASSAf), in partnership with the Department of Science and Innovation (DSI) and the University of Johannesburg (UJ) hosted the second virtual IID seminar titled: Exploring the Prospects of Using 3D Printing Technology in the South African Human Settlements, on 01 March 2021 to explore the potential use of 3D printing technology in human settlements. The webinar presented preliminary findings from a study conducted by UJ, addressing the following topics: 1. The viability of 3D printing technology 2. Cost comparison of 3D printed house to conventional construction 3. Preliminary perceptions on 3D printing of houses Speakers included: Dr Jennifer Mirembe (NDoHS), Dr Jeffrey Mahachi, Mr Refilwe Lediga, Mr Khululekani Ntakana and Dr Luxien Ariyan, all from UJ. There was a unanimous consensus that collaborative efforts from all stakeholders are key to take advantage of this niche technology. @ASSAf_Official; @dsigovza; @go2uj; @The_DHS; #SA 3D_Printing; #3D Print_Housing; #IID
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