標(biāo)題: Titlebook: Applying Generalized Linear Models; James K. Lindsey Textbook 1997 Springer Science+Business Media New York 1997 ANOVA.Analysis of varianc [打印本頁] 作者: 螺絲刀 時(shí)間: 2025-3-21 16:56
書目名稱Applying Generalized Linear Models影響因子(影響力)
書目名稱Applying Generalized Linear Models影響因子(影響力)學(xué)科排名
書目名稱Applying Generalized Linear Models網(wǎng)絡(luò)公開度
書目名稱Applying Generalized Linear Models網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Applying Generalized Linear Models被引頻次
書目名稱Applying Generalized Linear Models被引頻次學(xué)科排名
書目名稱Applying Generalized Linear Models年度引用
書目名稱Applying Generalized Linear Models年度引用學(xué)科排名
書目名稱Applying Generalized Linear Models讀者反饋
書目名稱Applying Generalized Linear Models讀者反饋學(xué)科排名
作者: 稱贊 時(shí)間: 2025-3-21 20:32
978-1-4757-7111-4Springer Science+Business Media New York 1997作者: 放大 時(shí)間: 2025-3-22 03:43 作者: FICE 時(shí)間: 2025-3-22 06:52
https://doi.org/10.1007/978-3-642-46511-6Longitudinal data involve observations of responses over time that can be modelled as a stochastic process (Lindsey, 1992, 1993). They differ from most other types of data in that the dependence of present response on past history must be taken into account.作者: 壕溝 時(shí)間: 2025-3-22 10:39
An Introduction to Phase Diagrams,An event history is observed when, in contrast to survival data, events are not absorbing but repeating, so that a series of events, and the corresponding durations between them, can be recorded for each individual.作者: Fulsome 時(shí)間: 2025-3-22 12:52
https://doi.org/10.1007/978-94-007-1948-4The classical normal linear models are especially simple mathematically, as compared to other members of the exponential dispersion family, for a number of reasons:作者: 徹底明白 時(shí)間: 2025-3-22 18:52
Growth Curves,Longitudinal data involve observations of responses over time that can be modelled as a stochastic process (Lindsey, 1992, 1993). They differ from most other types of data in that the dependence of present response on past history must be taken into account.作者: excrete 時(shí)間: 2025-3-23 00:00 作者: 秘傳 時(shí)間: 2025-3-23 05:18
Normal Models,The classical normal linear models are especially simple mathematically, as compared to other members of the exponential dispersion family, for a number of reasons:作者: CESS 時(shí)間: 2025-3-23 08:42 作者: Thymus 時(shí)間: 2025-3-23 11:25 作者: arrogant 時(shí)間: 2025-3-23 13:56
Fitting and Comparing Probability Distributions,as events. Even the record of a theoretically continuous variable, such as the weight of a person at a given point in time, is an event, and a discrete one at that, because any instrument can only measure to a finite precision.作者: 地名表 時(shí)間: 2025-3-23 20:38
Time Series,together in time may usually be expected to be more closely related. In the simplest models, as in Chapter 4, this dependence may be ignored, but this is most useful as a null hypothesis to which more complex models can be compared. Now, we shall look at this dependence, but use simpler systematic components than in the previous chapter.作者: 本能 時(shí)間: 2025-3-24 00:49
Spatial Data,ses. However, they are more complex because dependence can be on neighbours in all directions and not just through ordered unidimensional history. Thus, we shall not be able to develop a multivariate model that decomposes in a simple way, as in Equation (5.1). Generally, approximations have to be made.作者: frenzy 時(shí)間: 2025-3-24 04:57 作者: Chameleon 時(shí)間: 2025-3-24 08:51 作者: opinionated 時(shí)間: 2025-3-24 14:08 作者: FILLY 時(shí)間: 2025-3-24 17:38
Mustafa Alparslan,Mehmet N. Kumruas events. Even the record of a theoretically continuous variable, such as the weight of a person at a given point in time, is an event, and a discrete one at that, because any instrument can only measure to a finite precision.作者: RECUR 時(shí)間: 2025-3-24 20:00
https://doi.org/10.1007/978-3-642-46511-6together in time may usually be expected to be more closely related. In the simplest models, as in Chapter 4, this dependence may be ignored, but this is most useful as a null hypothesis to which more complex models can be compared. Now, we shall look at this dependence, but use simpler systematic components than in the previous chapter.作者: Narrative 時(shí)間: 2025-3-25 00:43 作者: 檔案 時(shí)間: 2025-3-25 05:30
Ecosystem GIS-Modelling in Ecotoxicologytrue, although much of theoretical statistical inference is based on just this assumption. Models may be deterministic or probabilistic. In the former case, outcomes are precisely defined, whereas, in the latter, they involve variability due to unknown random factors. Models with a probabilistic com作者: FUSC 時(shí)間: 2025-3-25 10:01
Phytoviruses as Indicators of Environmentible in statistics because, as we shall see, the most fundamental models are those for discrete data. As well, the latter are now by far the most commonly used in applied statistics. Thus, we begin our presentation of generalized linear regression modelling with the study of log linear models.作者: mighty 時(shí)間: 2025-3-25 11:59
Mustafa Alparslan,Mehmet N. Kumruas events. Even the record of a theoretically continuous variable, such as the weight of a person at a given point in time, is an event, and a discrete one at that, because any instrument can only measure to a finite precision.作者: gnarled 時(shí)間: 2025-3-25 17:39
https://doi.org/10.1007/978-3-642-46511-6together in time may usually be expected to be more closely related. In the simplest models, as in Chapter 4, this dependence may be ignored, but this is most useful as a null hypothesis to which more complex models can be compared. Now, we shall look at this dependence, but use simpler systematic c作者: 相容 時(shí)間: 2025-3-25 21:10 作者: 愛得痛了 時(shí)間: 2025-3-26 01:36
303 Retrograde Equilibrium Curves,ses. However, they are more complex because dependence can be on neighbours in all directions and not just through ordered unidimensional history. Thus, we shall not be able to develop a multivariate model that decomposes in a simple way, as in Equation (5.1). Generally, approximations have to be ma作者: 反感 時(shí)間: 2025-3-26 05:46
https://doi.org/10.1007/978-1-4613-8584-4lowing the regression coefficients to be random, evolving over time according to a Markov process. This is called a . and is usually estimated by a procedure called the Kalman filter. (Unfortunately, the usual software for generalized linear models generally cannot easily be adapted for this algorit作者: Foment 時(shí)間: 2025-3-26 10:33
1431-875X with the analysis of the simpler normal linear models, regression and ANOVA. The author is professor in the biostatistics department at Limburgs University, Die978-1-4757-7111-4978-0-387-22730-6Series ISSN 1431-875X Series E-ISSN 2197-4136 作者: Fibrin 時(shí)間: 2025-3-26 15:36
Textbook 1997 of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, and should be familiar at least with the analysis of the simpler normal linear models, regression and ANOVA. The author is professor in the biostatistics department at Limburgs University, Die作者: 廚師 時(shí)間: 2025-3-26 19:50 作者: 礦石 時(shí)間: 2025-3-26 22:22
1431-875X ferent fields, without becoming lost in problems of statistical inference. Many students, even in relatively advanced statistics courses, do not have an overview whereby they can see that the three areas - linear normal, categorical, and survival models - have much in common. The author shows the un作者: 跳動(dòng) 時(shí)間: 2025-3-27 05:10
https://doi.org/10.1007/978-1-4613-8584-4ocedure called the Kalman filter. (Unfortunately, the usual software for generalized linear models generally cannot easily be adapted for this algorithm.) Although originally proposed as the dynamic linear model for normal data, it can be extended to other distributions.作者: Infraction 時(shí)間: 2025-3-27 08:03 作者: MOAT 時(shí)間: 2025-3-27 13:27
Equilibrium Between Phases of Mattern). This restricts the choice of possible distributions to be used. For example, a normal distribution would not be appropriate. Suitable distributions within the generalized linear model family include the log normal, gamma, and inverse Gaussian.作者: frivolous 時(shí)間: 2025-3-27 14:33 作者: CYN 時(shí)間: 2025-3-27 20:40 作者: Innocence 時(shí)間: 2025-3-28 00:23 作者: 考古學(xué) 時(shí)間: 2025-3-28 03:50 作者: antidote 時(shí)間: 2025-3-28 09:18 作者: Capture 時(shí)間: 2025-3-28 12:12
Survival Data,observed, the event is considered to be absorbing, so that observation of that individual must stop when it occurs. We first consider this case, although most of the discussion applies directly to more general durations such as the times between repeated events, called event histories (Chapter 7). U作者: 品嘗你的人 時(shí)間: 2025-3-28 17:36 作者: 掃興 時(shí)間: 2025-3-28 20:56 作者: Coordinate 時(shí)間: 2025-3-28 23:41
9樓作者: GOAD 時(shí)間: 2025-3-29 05:06
9樓作者: 木訥 時(shí)間: 2025-3-29 10:52
9樓作者: Seizure 時(shí)間: 2025-3-29 11:32
10樓作者: 體貼 時(shí)間: 2025-3-29 17:17
10樓作者: 破裂 時(shí)間: 2025-3-29 23:06
10樓作者: 變量 時(shí)間: 2025-3-30 02:59
10樓
