標題: Titlebook: Advances in the Statistical Sciences: Stochastic Hydrology; Volume IV Festschrif Ian B. MacNeill,Gary J. Umphrey,A. Ian McLeod Book 1987 D. [打印本頁] 作者: 抵押證書 時間: 2025-3-21 18:41
書目名稱Advances in the Statistical Sciences: Stochastic Hydrology影響因子(影響力)
書目名稱Advances in the Statistical Sciences: Stochastic Hydrology影響因子(影響力)學科排名
書目名稱Advances in the Statistical Sciences: Stochastic Hydrology網絡公開度
書目名稱Advances in the Statistical Sciences: Stochastic Hydrology網絡公開度學科排名
書目名稱Advances in the Statistical Sciences: Stochastic Hydrology被引頻次
書目名稱Advances in the Statistical Sciences: Stochastic Hydrology被引頻次學科排名
書目名稱Advances in the Statistical Sciences: Stochastic Hydrology年度引用
書目名稱Advances in the Statistical Sciences: Stochastic Hydrology年度引用學科排名
書目名稱Advances in the Statistical Sciences: Stochastic Hydrology讀者反饋
書目名稱Advances in the Statistical Sciences: Stochastic Hydrology讀者反饋學科排名
作者: Excitotoxin 時間: 2025-3-21 21:44
Rachel A. Fusco,Mary Elizabeth Rauktisvey of this method, with special attention to recent results extending the theory to dependent random sequences. The classical rainfall/runoff prediction problem serves as focus for this study, but the methodology offered potentially has much wider application.作者: Onerous 時間: 2025-3-22 03:02
The Western Ontario Series in Philosophy of Sciencehttp://image.papertrans.cn/a/image/150260.jpg作者: contrast-medium 時間: 2025-3-22 06:16
Conclusions and Future Directions,The extreme-value distribution plays an important role in hydrology; it is used to model floods, reservoir content, tides, etc. In this article we survey some of the methods used to determine if a sample comes from the extreme-value distribution, and draw attention to some recent work on testing this assumption.作者: 肉身 時間: 2025-3-22 11:24 作者: Acclaim 時間: 2025-3-22 13:59 作者: Laconic 時間: 2025-3-22 17:02
https://doi.org/10.1007/978-94-009-4792-4Tore; hydrology; science; simulation; statistics; time series; hydrogeology作者: indices 時間: 2025-3-22 21:34 作者: apiary 時間: 2025-3-23 05:23 作者: defile 時間: 2025-3-23 09:05 作者: CLOUT 時間: 2025-3-23 13:22 作者: 草率男 時間: 2025-3-23 17:41
https://doi.org/10.1007/978-1-4612-6239-8ic autoregressive (PAR) models are reviewed. These techniques are then used for fitting PAR and deseasonalized ARMA models to three specific monthly riverflow time series. The Akaike information criterion (AIC) and Bayes information criterion (BIC) suggest the PAR model provides the best fit. Split-作者: 煩擾 時間: 2025-3-23 18:30 作者: Affirm 時間: 2025-3-24 00:15
Contemporary Issues in Biomedical Ethicstual reservoirs of the Nash type. The particular stochastic differential equation studied herein is derived from the mass balance equation stated for a single reservoir by representing the input term, as well as the environmental (external) parameters within it, as white stationary stochastic proces作者: Glycogen 時間: 2025-3-24 04:05
Contemporary Issues in Biomedical Ethicslems. Equations are treated as abstract stochastic evolution equations for elliptic partial differential operators in an appropriate functional Sobolev space. Explicit forms of solutions are obtained by using the strongly continuous semigroup of the partial differential operator. Application of the 作者: Introvert 時間: 2025-3-24 09:16 作者: 構成 時間: 2025-3-24 13:19 作者: 相信 時間: 2025-3-24 18:11
Mary Elizabeth Rauktis,Tammy L. Thomas various authors have noted that the potential of nonparametric probability density estimation is not being fully realized (Scott and Factor, 1981; Yakowitz, 1985). In hydrology nonparametric techniques offer promise as they appear to be powerful while making few assumptions regarding underlying dis作者: 完成才能戰(zhàn)勝 時間: 2025-3-24 22:34
Helen Cahalane,Carol M. Andersonribution to a set of observations of annual maxima. The choice of the probability distribution is often based on asymptotic results. We investigate this model selection criterion through evaluation of the errors in estimating of .(.) for a Markovian daily flow stochastic process..The design of spill作者: 有說服力 時間: 2025-3-25 03:07 作者: Eviction 時間: 2025-3-25 06:29
https://doi.org/10.1007/978-1-4757-9826-5ual particles are governed by nonhomogeneous diffusions with random coefficients..The implementation of this complex stochastic model involves optimal smoothing of configuration and estimation of Ornstein-Uhlenbeck parameters from limited engineering data. Preliminary simulations are reported.作者: 感情 時間: 2025-3-25 09:53 作者: justify 時間: 2025-3-25 12:39 作者: inflate 時間: 2025-3-25 17:25
A Markov Model for Sedimentation: Fundamental Issues and Insights,ual particles are governed by nonhomogeneous diffusions with random coefficients..The implementation of this complex stochastic model involves optimal smoothing of configuration and estimation of Ornstein-Uhlenbeck parameters from limited engineering data. Preliminary simulations are reported.作者: 數量 時間: 2025-3-25 21:48
A Stochastic Modelling of Tidal Current Measurements,A model was fitted. It was found that the actual differenced residuals are related to those previous ones with time lags of 16, 17, 21, 33 or 34 hours. Such time lags do not correspond to any known tidal periodicities. It is suggested that other forcing, due to meteorological phenomena for example, 作者: 喚起 時間: 2025-3-26 03:12 作者: 圣人 時間: 2025-3-26 06:19
Advances in the Statistical Sciences: Stochastic HydrologyVolume IV Festschrif作者: Anguish 時間: 2025-3-26 08:59
Book 1987ant, and Sandy Tamowski. This work has been printed from "camera ready" copy produced by our Vax 785 computer and QMS Lasergraphix printers, using the text processing software TEX. At the initiation of this project, we were neophytes in the use of this system. Thank you, J ackie, Lise, and Sandy, fo作者: 小丑 時間: 2025-3-26 14:21
A Markov Model for Sedimentation: Fundamental Issues and Insights, governed by a system of first-order non-linear differential equations. Non-linearity and finite precision conspire to produce chaotic and unpredictable trajectories. Our model replaces this chaos of complex interactions by the formal chaos of stochastic processes..The model utilizes a family of ind作者: LAPSE 時間: 2025-3-26 18:38 作者: Reclaim 時間: 2025-3-27 00:27
Autoregressive Empirical Modelling of Multiple Precipitation Time Series,mum entropy method (MEM) of spectral estimation is equivalent to the AR representation of the data. The paper presents a new algorithm for spectral estimation based upon the MEM approach and is applied to multiple precipitation time series. The algorithm is similar to generalizations of the Burg met作者: 喧鬧 時間: 2025-3-27 05:06
Simulation of Monthly Hydrological Time Series,ic autoregressive (PAR) models are reviewed. These techniques are then used for fitting PAR and deseasonalized ARMA models to three specific monthly riverflow time series. The Akaike information criterion (AIC) and Bayes information criterion (BIC) suggest the PAR model provides the best fit. Split-作者: 梯田 時間: 2025-3-27 08:03 作者: 接觸 時間: 2025-3-27 11:32
Solutions to Nonlinear Stochastic Differential Equations in Catchment Modelling,tual reservoirs of the Nash type. The particular stochastic differential equation studied herein is derived from the mass balance equation stated for a single reservoir by representing the input term, as well as the environmental (external) parameters within it, as white stationary stochastic proces作者: 談判 時間: 2025-3-27 14:05
Stochastic Partial Differential Equations in Hydrology,lems. Equations are treated as abstract stochastic evolution equations for elliptic partial differential operators in an appropriate functional Sobolev space. Explicit forms of solutions are obtained by using the strongly continuous semigroup of the partial differential operator. Application of the 作者: 沉思的魚 時間: 2025-3-27 20:26
On the Outputs of the Stochasticized Nash-Dooge Linear Reservoir Cascade,tchments are formulated as simple linear stochastic dynamical systems within the formalism of stochastic differential equations [SDE’s]. The system driving process, rainfall and evapotranspiration losses (negative input) are modelled respectively as a compound Poisson process and a mean zero white G作者: 共同確定為確 時間: 2025-3-28 01:25
Nearest Neighbor Methods for Time Series, with Application to Rainfall/Runoff Prediction,vey of this method, with special attention to recent results extending the theory to dependent random sequences. The classical rainfall/runoff prediction problem serves as focus for this study, but the methodology offered potentially has much wider application.作者: Nefarious 時間: 2025-3-28 06:01 作者: 一個攪動不安 時間: 2025-3-28 07:17
Statistical Approach to Floods,ribution to a set of observations of annual maxima. The choice of the probability distribution is often based on asymptotic results. We investigate this model selection criterion through evaluation of the errors in estimating of .(.) for a Markovian daily flow stochastic process..The design of spill作者: 不能平靜 時間: 2025-3-28 12:51 作者: 深陷 時間: 2025-3-28 14:45
Treatment of Substance Abuse in Older Adultsecking is attempted. A review of recent statistical developments in multivariate ARMA models is given. Efficient estimation procedures for multi-site riverflows are presented. These techniques are demonstrated with some examples given from multi-site hydrology and from water quality studies.作者: 指令 時間: 2025-3-28 22:11
https://doi.org/10.1007/978-1-4612-6239-8iverflow time series. The Akaike information criterion (AIC) and Bayes information criterion (BIC) suggest the PAR model provides the best fit. Split-sample simulation experiments show that the PAR models preserve the critical drought statistics of the historical flow sequences.作者: 發(fā)芽 時間: 2025-3-29 02:35 作者: abduction 時間: 2025-3-29 05:19 作者: NOMAD 時間: 2025-3-29 07:16
The Use and Abuse of Multivariate Time Series Models in Hydrology,ecking is attempted. A review of recent statistical developments in multivariate ARMA models is given. Efficient estimation procedures for multi-site riverflows are presented. These techniques are demonstrated with some examples given from multi-site hydrology and from water quality studies.作者: 避開 時間: 2025-3-29 13:29 作者: 罵人有污點 時間: 2025-3-29 15:56
Solutions to Nonlinear Stochastic Differential Equations in Catchment Modelling,a single reservoir by representing the input term, as well as the environmental (external) parameters within it, as white stationary stochastic processes. Also noted are certain properties of the solution, numerical evaluation techniques, and the environmentally induced instability problem of concern in this context.作者: JUST 時間: 2025-3-29 20:58 作者: 警告 時間: 2025-3-30 03:30
Book 1987V. M. Joshi. These symposia were chosen to reflect Professor Joshi‘s research interests as well as areas of expertise in statistical science among faculty in the Departments of Statistical and Actuarial Sciences, Economics, Epidemiology and Biostatistics, and Philosophy. From these symposia, the six作者: 勤勉 時間: 2025-3-30 04:49 作者: faucet 時間: 2025-3-30 09:52
On the Outputs of the Stochasticized Nash-Dooge Linear Reservoir Cascade,n of the It? differential rule. Results for cascades of one to five reservoirs reveal the additional reservoirs progressively attenuate system response. Generalizations to an . reservoir cascade are given for the variance and autocovariance function.
