標題: Titlebook: Generalized Linear Mixed Models with Applications in Agriculture and Biology; Josafhat Salinas Ruíz,Osval Antonio Montesinos Lóp Book‘‘‘‘‘ [打印本頁] 作者: firearm 時間: 2025-3-21 17:16
書目名稱Generalized Linear Mixed Models with Applications in Agriculture and Biology影響因子(影響力)
書目名稱Generalized Linear Mixed Models with Applications in Agriculture and Biology影響因子(影響力)學科排名
書目名稱Generalized Linear Mixed Models with Applications in Agriculture and Biology網(wǎng)絡(luò)公開度
書目名稱Generalized Linear Mixed Models with Applications in Agriculture and Biology網(wǎng)絡(luò)公開度學科排名
書目名稱Generalized Linear Mixed Models with Applications in Agriculture and Biology被引頻次
書目名稱Generalized Linear Mixed Models with Applications in Agriculture and Biology被引頻次學科排名
書目名稱Generalized Linear Mixed Models with Applications in Agriculture and Biology年度引用
書目名稱Generalized Linear Mixed Models with Applications in Agriculture and Biology年度引用學科排名
書目名稱Generalized Linear Mixed Models with Applications in Agriculture and Biology讀者反饋
書目名稱Generalized Linear Mixed Models with Applications in Agriculture and Biology讀者反饋學科排名
作者: 異常 時間: 2025-3-21 20:18 作者: 公式 時間: 2025-3-22 02:46 作者: Neuralgia 時間: 2025-3-22 06:35 作者: 得意牛 時間: 2025-3-22 12:38
Dennis Chiwele,Christopher Colcloughthe values of all the predictor variables, and are linear functions of the predictor variables. Transformations of data are used to try to force the data into a normal linear regression model or to find a non-normal-type response variable transformation (discrete, categorical, positive continuous sc作者: 沒有準備 時間: 2025-3-22 16:55 作者: 沒有準備 時間: 2025-3-22 18:36
Conflict and Conciliation Dynamics,e increased use of such sophisticated statistical tools with broader applicability and flexibility. This family of models can be applied to a wide range of different data types (continuous, categorical (nominal or ordinal), percentages, and counts), and each is appropriate for a specific type of dat作者: 欲望小妹 時間: 2025-3-23 01:03
https://doi.org/10.1007/978-3-658-39942-9ds in agricultural or agroecological studies; the number of plants transformed or regenerated using modern breeding techniques; the number of individuals with a certain disease in a medical study; and the number of defective products in a quality improvement study, among others. These counts can be 作者: 旅行路線 時間: 2025-3-23 04:57 作者: 闡明 時間: 2025-3-23 07:49 作者: 動脈 時間: 2025-3-23 12:17
Overview of Law and Guidelines,rdinal) or unordered (nominal) outcomes. Given a response with more than two possible outcomes and independent trials with probabilities of similar category for each trial, the distribution of counts across categories follows a multinomial distribution. Quinn and Keough (2002) believe that several m作者: CLEFT 時間: 2025-3-23 14:42 作者: Exonerate 時間: 2025-3-23 20:10
Generalized Linear Mixed Models with Applications in Agriculture and Biology作者: 褲子 時間: 2025-3-24 00:53 作者: Watemelon 時間: 2025-3-24 04:14
Conflict and Conciliation Dynamics,example, in the social sciences there have been applications in the field of education when several tests are applied to students; in longitudinal personality studies when the occurrence of an emotion is repeatedly observed over time over a set of people; and in surveys to investigate the political 作者: 不能妥協(xié) 時間: 2025-3-24 09:26 作者: Guileless 時間: 2025-3-24 13:51
https://doi.org/10.1007/978-981-15-0742-7 (i.e., trials with only two possible outcomes: success or failure), where all trials have the same probability of success. For binary and binomial distributions, the target of inference is the value of the parameter such that .. Continuous proportions (ratios) arise when the researcher measures res作者: 阻礙 時間: 2025-3-24 15:51 作者: Habituate 時間: 2025-3-24 19:52
ed users to easily, quickly, and accurately apply GLMM to data sets. GLMMs have attracted considerable attention in recent years. The word "Generalized" refers to non-normal distributions for the response varia978-3-031-32802-2978-3-031-32800-8作者: 商業(yè)上 時間: 2025-3-25 01:43 作者: FLIP 時間: 2025-3-25 04:27 作者: Bureaucracy 時間: 2025-3-25 09:51 作者: Hyperopia 時間: 2025-3-25 14:43
Generalized Linear Mixed Models for Proportions and Percentages, (i.e., trials with only two possible outcomes: success or failure), where all trials have the same probability of success. For binary and binomial distributions, the target of inference is the value of the parameter such that .. Continuous proportions (ratios) arise when the researcher measures res作者: botany 時間: 2025-3-25 19:20 作者: CLAN 時間: 2025-3-25 20:31
several responses variable are no continuous and no normall.This open access book?offers an introduction to mixed generalized linear models with applications to the biological sciences, basically approached from an applications perspective, without neglecting the rigor of the theory. For this reaso作者: 努力趕上 時間: 2025-3-26 01:55 作者: Counteract 時間: 2025-3-26 05:17
Book‘‘‘‘‘‘‘‘ 2023om an applications perspective, without neglecting the rigor of the theory. For this reason, the theory that supports each of the studied methods is addressed and later - through examples - its application is illustrated. In addition, some of the assumptions and shortcomings of linear statistical mo作者: 跟隨 時間: 2025-3-26 11:59 作者: lethal 時間: 2025-3-26 16:17 作者: 確認 時間: 2025-3-26 18:04
https://doi.org/10.1007/978-3-319-76744-4he biological sciences and are fairly well understood for normally distributed data but less so with binary, ordinal, count data, and so on. Nevertheless, recent developments in statistical computing methodology and software have greatly increased the number of tools available for analyzing categorical data.作者: 分解 時間: 2025-3-26 22:07
Time of Occurrence of an Event of Interest, others. Because of the characteristics of these response variables, a “normal” distribution is often a poor choice for modeling the time at which the event of interest occurs. Exponential, log-normal, gamma, Weibull, and other more complex distributions that?tend to be more common and are better choices for modeling these phenomena.作者: Chromatic 時間: 2025-3-27 05:12
Generalized Linear Mixed Models for Repeated Measurements,he biological sciences and are fairly well understood for normally distributed data but less so with binary, ordinal, count data, and so on. Nevertheless, recent developments in statistical computing methodology and software have greatly increased the number of tools available for analyzing categorical data.作者: 連接 時間: 2025-3-27 07:07
Dennis Chiwele,Christopher Colcloughaking into account that the response variables are not of continuous scale (not normally distributed), GLMs are heteroscedastic, and there is a linear relationship between the mean of the response variable and the predictor or explanatory variables.作者: 構(gòu)想 時間: 2025-3-27 13:19 作者: Obscure 時間: 2025-3-27 17:26
Generalized Linear Models,aking into account that the response variables are not of continuous scale (not normally distributed), GLMs are heteroscedastic, and there is a linear relationship between the mean of the response variable and the predictor or explanatory variables.作者: Hearten 時間: 2025-3-27 21:15
Objectives of Inference for Stochastic Models,erefore, if the researcher proposes using a reasonable model to analyze an experiment, then he/she must be able to express each objective as a question about a model parameter or as a linear combination of model parameters.作者: FLORA 時間: 2025-3-28 00:03
Elements of Generalized Linear Mixed Models, linear model aims to best represent/describe the nature of a dataset. A model is usually made up of factors or a series of factors that can be nominal or discrete variables (sex, year, etc.) or continuous variables (age, height, etc.), which have an effect on the observed data. Linear models are th作者: 領(lǐng)袖氣質(zhì) 時間: 2025-3-28 04:48
Generalized Linear Models,the values of all the predictor variables, and are linear functions of the predictor variables. Transformations of data are used to try to force the data into a normal linear regression model or to find a non-normal-type response variable transformation (discrete, categorical, positive continuous sc作者: Glucocorticoids 時間: 2025-3-28 07:44 作者: poliosis 時間: 2025-3-28 11:59
Generalized Linear Mixed Models for Non-normal Responses,e increased use of such sophisticated statistical tools with broader applicability and flexibility. This family of models can be applied to a wide range of different data types (continuous, categorical (nominal or ordinal), percentages, and counts), and each is appropriate for a specific type of dat作者: tattle 時間: 2025-3-28 15:34 作者: MAOIS 時間: 2025-3-28 18:56 作者: Detoxification 時間: 2025-3-29 02:32 作者: 職業(yè)拳擊手 時間: 2025-3-29 05:07 作者: 臨時抱佛腳 時間: 2025-3-29 07:45
Generalized Linear Mixed Models for Repeated Measurements,its at various planned times. These experiments can be of the regression or analysis of variance (ANOVA) type, can contain two or more treatments, and are set up using familiar designs, such as CRD?(Completely Randomized?design), randomized complete block design (RCBD), or randomized incomplete bloc作者: Hypopnea 時間: 2025-3-29 11:26
Textbook 2022?ten wie Smartphones als Zugang zu Informationen immer und von überall geschildert. Dabei werden vorrangig Methoden der digitalen Informationsübertragung behandelt.?Besonderer Wert wird anhand von Beispielen auf die Entwicklung von F?higkeiten gelegt, technische Probleme in eine ?Ingenieurssprache“
