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標題: Titlebook: Dynamic Data Analysis; Modeling Data with D James Ramsay,Giles Hooker Book 2017 Springer Science+Business Media LLC 2017 functional data an [打印本頁]

作者: gloomy    時間: 2025-3-21 19:52
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書目名稱Dynamic Data Analysis影響因子(影響力)學科排名




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書目名稱Dynamic Data Analysis網(wǎng)絡公開度學科排名




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書目名稱Dynamic Data Analysis被引頻次學科排名




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作者: 亞當心理陰影    時間: 2025-3-21 20:23
Differential Equations: Notation and Architecture,used in subsequent chapters. Classifications of differential equations include linear versus nonlinear, homogeneous (no external input) and non-homogeneous or forced (with external input), single equations versus systems of equations, and first order equations and higher order equations. The exposit
作者: minaret    時間: 2025-3-22 01:02
Linear Differential Equations and Systems, is useful from a modelling perspective. Linear differential equations do a great deal of the heavy lifting in many fields of application, including, for example, chemical engineering, electrical circuit theory, financial analysis, kinesiology and pharmacology. Stationary linear differential equatio
作者: Dendritic-Cells    時間: 2025-3-22 08:17

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作者: surmount    時間: 2025-3-22 20:27
https://doi.org/10.1007/978-3-531-19761-6change on the output side. Six examples are taken up, which will reappear later in the book. Each of these examples involve data spread out over the interval of change that will be used later to estimate parameters defining the differential equation. The introduction of vaccination for smallpox in M
作者: 咯咯笑    時間: 2025-3-22 21:31
Sarah Alexi,Friederike Heinzel,Uta Mariniused in subsequent chapters. Classifications of differential equations include linear versus nonlinear, homogeneous (no external input) and non-homogeneous or forced (with external input), single equations versus systems of equations, and first order equations and higher order equations. The exposit
作者: dermatomyositis    時間: 2025-3-23 03:30
Sarah Alexi,Friederike Heinzel,Uta Marini is useful from a modelling perspective. Linear differential equations do a great deal of the heavy lifting in many fields of application, including, for example, chemical engineering, electrical circuit theory, financial analysis, kinesiology and pharmacology. Stationary linear differential equatio
作者: hemoglobin    時間: 2025-3-23 06:20
https://doi.org/10.1007/978-3-531-19761-6ations must be approximated numerically. This chapter reviews two classes of numerical methods: Euler and Runge–Kutta methods that solve equations forwards in time starting from an initial value, and collocation methods which approximate solutions using a basis expansion. The chapter also discusses
作者: 情感    時間: 2025-3-23 10:18
Sozio?konomie und économie des conventionsarameter values and choose the ones which lead to best agreement with the data. Often, we need to search over both parameter values and initial conditions. This chapter introduces Gauss–Newton methods for minimizing a squared error criterion along with the sensitivity equations need to calculate der
作者: Antagonist    時間: 2025-3-23 15:22
Die Einbettung der Sozio?konomiknon-parametric estimates of the state trajectory and its derivative. This allows the right hand side of the ODE to be fit to the estimated derivatives, which is often numerically easier than the trajectory matching described in Chap.?.. We discuss the ways in which this approach allows us to diagnos
作者: INERT    時間: 2025-3-23 22:03
Dynamic Data Analysis978-1-4939-7190-9Series ISSN 0172-7397 Series E-ISSN 2197-568X
作者: 粘土    時間: 2025-3-23 22:21
Sarah Alexi,Friederike Heinzel,Uta MariniAutonomous nonlinear first order systems or single higher order nonlinear equations are expressible as
作者: 騙子    時間: 2025-3-24 05:22
Sarah Alexi,Friederike Heinzel,Uta MariniWithin the discipline of applied mathematics, a large part of dynamical systems theory is concerned with the description of the qualitative behavior of dynamical systems.
作者: RACE    時間: 2025-3-24 09:01

作者: 膝蓋    時間: 2025-3-24 13:14
Sozio?konomie und économie des conventionsWe have seen in the last chapter that linear differential equations can provide nice answers for a wide variety of problems, in the same way that multiple linear regression is the workhorse of applied statistics.
作者: CAGE    時間: 2025-3-24 17:41

作者: 使隔離    時間: 2025-3-24 19:39
Qualitative Behavior,Within the discipline of applied mathematics, a large part of dynamical systems theory is concerned with the description of the qualitative behavior of dynamical systems.
作者: antenna    時間: 2025-3-25 01:36
Profiled Estimation for Linear Systems Estimated by Least Squares Fitting,We now describe an approach to parameter estimation and statistical inference called . or . that combines the virtues of both the nonlinear least squares method or trajectory matching described in Chap.?. and the gradient matching approach in Chap.?., but in a way that avoids the disadvantages of both.
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作者: Latency    時間: 2025-3-25 13:20

作者: reject    時間: 2025-3-25 18:32
James Ramsay,Giles HookerOffers an accessible text to those with little or no exposure to differential equations as modeling objects.Updates and builds on techniques from the popular Functional Data Analysis (Ramsay and Silve
作者: appall    時間: 2025-3-25 23:21

作者: 混合物    時間: 2025-3-26 00:09
Book 2017a analysis and building on techniques described in Ramsay and Silverman (2005)?.Functional Data Analysis.. The central concept of a dynamical system as a buffer that translates sudden changes in input into smooth controlled output responses has led to applications of previously analyzed data, openin
作者: CRUE    時間: 2025-3-26 06:17
0172-7397 from the popular Functional Data Analysis (Ramsay and SilveThis text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005)?.Functional
作者: Malleable    時間: 2025-3-26 10:21
https://doi.org/10.1007/978-3-531-19761-6wards in time starting from an initial value, and collocation methods which approximate solutions using a basis expansion. The chapter also discusses when these methods can break down and ways to transform a differential equation to improve their performance.
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作者: Frenetic    時間: 2025-3-27 03:33
Differential Equations: Notation and Architecture,o the next two chapters. This chapter also discusses various types of data configurations that are found in modelling situations, including issues around the density of observations required to estimate certain features of the model.
作者: 車床    時間: 2025-3-27 09:17

作者: instill    時間: 2025-3-27 10:56
https://doi.org/10.1007/978-3-531-19761-6put, when passed through a spring-like buffer, can closely capture the curves, cusps and lifts in the actual script. The chapter closes with an overview, an outline of the mathematical skill level required to read the book, and the goals motivating the rest of the book.
作者: vasospasm    時間: 2025-3-27 15:30
Introduction to Dynamic Models,put, when passed through a spring-like buffer, can closely capture the curves, cusps and lifts in the actual script. The chapter closes with an overview, an outline of the mathematical skill level required to read the book, and the goals motivating the rest of the book.
作者: 不要嚴酷    時間: 2025-3-27 19:58

作者: 抓住他投降    時間: 2025-3-28 00:17
Numerical Solutions,wards in time starting from an initial value, and collocation methods which approximate solutions using a basis expansion. The chapter also discusses when these methods can break down and ways to transform a differential equation to improve their performance.
作者: 清洗    時間: 2025-3-28 03:45

作者: vocation    時間: 2025-3-28 06:38
Sarah Alexi,Friederike Heinzel,Uta Marinins are an important subclass of linear equations, and are discussed in some detail. Nonlinear equation systems often begin as fairly obvious changes to a linear system, so that a good grasp if this rather humble part of dynamic systems theory continues to be useful in the next chapter on nonlinear systems.
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作者: 鉗子    時間: 2025-3-28 17:10
0172-7397 ata, or a statistician interested in the properties of differential equations estimated from data will find rather less to work with. This book fills that gap.?.978-1-4939-8412-1978-1-4939-7190-9Series ISSN 0172-7397 Series E-ISSN 2197-568X
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