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標(biāo)題: Titlebook: Linear and Generalized Linear Mixed Models and Their Applications; Jiming Jiang,Thuan Nguyen Book 2021Latest edition Springer Science+Busi [打印本頁]

作者: Concave    時(shí)間: 2025-3-21 18:01
書目名稱Linear and Generalized Linear Mixed Models and Their Applications影響因子(影響力)




書目名稱Linear and Generalized Linear Mixed Models and Their Applications影響因子(影響力)學(xué)科排名




書目名稱Linear and Generalized Linear Mixed Models and Their Applications網(wǎng)絡(luò)公開度




書目名稱Linear and Generalized Linear Mixed Models and Their Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Linear and Generalized Linear Mixed Models and Their Applications被引頻次




書目名稱Linear and Generalized Linear Mixed Models and Their Applications被引頻次學(xué)科排名




書目名稱Linear and Generalized Linear Mixed Models and Their Applications年度引用




書目名稱Linear and Generalized Linear Mixed Models and Their Applications年度引用學(xué)科排名




書目名稱Linear and Generalized Linear Mixed Models and Their Applications讀者反饋




書目名稱Linear and Generalized Linear Mixed Models and Their Applications讀者反饋學(xué)科排名





作者: MIR    時(shí)間: 2025-3-21 22:36
Linear Mixed Models: Part II,ce, namely, tests in linear mixed models. Section 2.1.1 discusses statistical tests in Gaussian mixed models. As shown, exact .-tests can often be derived under Gaussian ANOVA models. Furthermore, in some special cases, optimal tests such as uniformly most powerful unbiased (UMPU) tests exist and co
作者: Ancillary    時(shí)間: 2025-3-22 01:26

作者: Judicious    時(shí)間: 2025-3-22 06:23

作者: 疾馳    時(shí)間: 2025-3-22 09:25
Jiming Jiang,Thuan Nguyenows us to understand the behavior of data better, to predict data values (continuous or discrete), and to find important variables by means of building a model from the data. We present four different regression models: simple linear regression, multiple linear regression, polynomial regression and
作者: debris    時(shí)間: 2025-3-22 14:46
Jiming Jiang,Thuan Nguyenows us to understand the behavior of data better, to predict data values (continuous or discrete), and to find important variables by means of building a model from the data. We present four different regression models: simple linear regression, multiple linear regression, polynomial regression and
作者: 費(fèi)解    時(shí)間: 2025-3-22 19:58
Jiming Jiang,Thuan Nguyenis and machine learning.Includes case studies, and supplies .This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts?from statistics, machine/deep?learning?and responsible dat
作者: Orchiectomy    時(shí)間: 2025-3-22 22:18
Jiming Jiang,Thuan NguyenThe coverage spans key concepts?from statistics, machine/deep?learning?and responsible data science,?useful techniques for?network?analysis and?natural language processing,?and practical applications?of data science such as recommender systems or sentiment analysis.?.Topics and features:.?.Provides
作者: Creditee    時(shí)間: 2025-3-23 02:43
and then complements outcomes with the use of tidyverse.Prov.Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs .defines and explores the term "data science" and discusses the many professional skills and competencies affiliated with the industry. With data sci
作者: 輕快帶來危險(xiǎn)    時(shí)間: 2025-3-23 09:23
Jiming Jiang,Thuan NguyenFeatures exercises and real examples throughout, to ensure retention of information.Offers an up-to-date account of theory and methods in the analysis of these models as well as their applications in
作者: 模范    時(shí)間: 2025-3-23 12:10
Springer Series in Statisticshttp://image.papertrans.cn/l/image/586453.jpg
作者: Euphonious    時(shí)間: 2025-3-23 16:37
https://doi.org/10.1007/978-1-0716-1282-8Regression analysis; data analysis; generalized linear mixed models; linear mixed models; linear optimiz
作者: VEST    時(shí)間: 2025-3-23 18:26
978-1-0716-1284-2Springer Science+Business Media, LLC, part of Springer Nature 2021
作者: 跳動    時(shí)間: 2025-3-23 22:37

作者: 演繹    時(shí)間: 2025-3-24 03:51
Generalized Linear Mixed Models: Part I,tions are discrete, or categorical. For example, the number of seizure attacks of a potential patient during the past year takes the values 0, 1, 2, …and therefore is a discrete random variable; employment status (e.g., full-time/part-time/retired/unemployed) of a sampled individual is a categorical random variable.
作者: 有機(jī)體    時(shí)間: 2025-3-24 09:56

作者: 新娘    時(shí)間: 2025-3-24 14:05
0172-7397 e analysis of these models as well as their applications in .Now in its second edition, this book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and it presents an up-to-date account of theory and methods in analysis of these models as well a
作者: 館長    時(shí)間: 2025-3-24 18:35
Book 2021Latest editionpresents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. It offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it discusses the latest developments and methods in the field, incorpora
作者: 遺傳學(xué)    時(shí)間: 2025-3-24 20:23
Linear Mixed Models: Part I,icients, and . is a vector of (unobservable random) errors. In this model, the regression coefficients are considered as fixed, unknown constants. However, there are cases in which it makes sense to assume that some of these coefficients are random.
作者: 排他    時(shí)間: 2025-3-24 23:24
Linear Mixed Models: Part II,ived under Gaussian ANOVA models. Furthermore, in some special cases, optimal tests such as uniformly most powerful unbiased (UMPU) tests exist and coincide with the exact .-tests. Section 2.1.2 considers tests in non-Gaussian linear mixed models.
作者: 600    時(shí)間: 2025-3-25 05:24
Linear and Generalized Linear Mixed Models and Their Applications
作者: 男學(xué)院    時(shí)間: 2025-3-25 08:14

作者: 貨物    時(shí)間: 2025-3-25 15:20
0172-7397 ate courses in statistics, or for those who have taken a first course in mathematical statistics, are familiar with using computers for data analysis, and have a foundational background in calculus and linear a978-1-0716-1284-2978-1-0716-1282-8Series ISSN 0172-7397 Series E-ISSN 2197-568X
作者: ANN    時(shí)間: 2025-3-25 17:54
Jiming Jiang,Thuan Nguyen prediction, we chose one tool or another. Regression models are motivated by three real problems that deal with the following questions. Is the climate really changing? Can we predict the price of a new market, given any of its attributes? How many goals makes a football team the winner or the lose
作者: 擁擠前    時(shí)間: 2025-3-25 22:48
Jiming Jiang,Thuan Nguyen prediction, we chose one tool or another. Regression models are motivated by three real problems that deal with the following questions. Is the climate really changing? Can we predict the price of a new market, given any of its attributes? How many goals makes a football team the winner or the lose
作者: 是限制    時(shí)間: 2025-3-26 03:32
Jiming Jiang,Thuan Nguyen text data?.Provides supplementary code resources and data at an associated website?.This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical discipli
作者: CLAMP    時(shí)間: 2025-3-26 06:17
associated with both Base R?and the tidyverse?ecosystem. Readers will learn how to use R to work with real data, as well as how to communicate results to external stakeholders. A distinguishing feature of this text is its emphasis on the emerging use of APIs to obtain data..978-3-031-46385-3978-3-031-46383-9
作者: incubus    時(shí)間: 2025-3-26 11:19

作者: Harpoon    時(shí)間: 2025-3-26 13:35
, Nuclear Pore Complexes in Genome Organization and Gene Expression,r as consequences of normal cell differentiation, physiological aging and disease. In this review, we discuss how the popular model organism . has contributed to our understanding of NPC biogenesis and function from single cell resolution in young embryos to organismal homeostasis in adults.
作者: 闡釋    時(shí)間: 2025-3-26 18:08
https://doi.org/10.1007/978-3-658-24842-0dingung getroffen werden muss, dass der faktische Krankheitswert der Diagnose nicht prognostiziert werden kann. Unter den Bedingungen der Moderne, in der Elternschaft grunds?tzlich als ein individuell zu verantwortendes biographisches Risiko erfahren wird (vgl. Beck-Gernsheim 1993; Schülein 1994; Pi
作者: 俗艷    時(shí)間: 2025-3-26 23:04
Tiago Baptista,Ernesto Costarviewees work across industry sectors ranging from healthcare and banking tofinance and transportation and beyond. Each chapter illuminates a successful professional at the top of their game, who shares what helped them get to the top, and what skills and attitudes combine to make them successful in
作者: coddle    時(shí)間: 2025-3-27 04:28
G,F,: Improving Cyber Security Using Realistic Synthetic Face Generation, solving the aforementioned problem. Such sets can be used for testing and evaluating face-based authentication systems. Such test sets can also be used in balancing the ROC curves of such systems with the error correction codes used in authentication systems employing . or .. Another application is
作者: modish    時(shí)間: 2025-3-27 06:08
urpose call for these developments. The book will be of interest to postgraduate students, professors and practitioners in the areas of artificial intelligenc978-3-642-26779-6978-3-642-19953-0Series ISSN 1860-949X Series E-ISSN 1860-9503
作者: biosphere    時(shí)間: 2025-3-27 12:36
Background to Enterprise Modeling and to Related Elicitation Approaches,nd knowledge elicitation. Selected elicitation techniques used in EM are discussed. Among them are interviews, observations, document analysis, work diaries, and participatory modeling session. The concept of model quality is also discussed.
作者: savage    時(shí)間: 2025-3-27 16:16

作者: Cardiac    時(shí)間: 2025-3-27 20:14
objects can be very complicated, and may consist of both conservative and non-conservative forces, but as long as the objects are not affected by any external forces, their total momentum is conserved. We use this to find the velocities of each object after a collision from the velocities before a




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