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標(biāo)題: Titlebook: Introduction to Bayesian Methods in Ecology and Natural Resources; Edwin J. Green,Andrew O. Finley,William E. Strawde Textbook 2020 Spring [打印本頁(yè)]

作者: Cataplexy 時(shí)間: 2025-3-21 18:34
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書目名稱Introduction to Bayesian Methods in Ecology and Natural Resources讀者反饋學(xué)科排名

作者: Slit-Lamp 時(shí)間: 2025-3-21 20:39
Edwin J. Green,Andrew O. Finley,William E. Strawdermantal, scientists. It is important that they understand how experiments are performed and what the results mean. In science the validity of ideas is checked by experiments. If a new idea does not work in the laboratory, it must be discarded. If it does work, it is accepted, at least tentatively. In sc

作者: llibretto 時(shí)間: 2025-3-22 02:41

作者: accordance 時(shí)間: 2025-3-22 07:28

作者: 隨意 時(shí)間: 2025-3-22 10:01
Edwin J. Green,Andrew O. Finley,William E. Strawdermanbliography containing 3400 items.Each chapter ends with a seThe aim of this book is to present an exposition of the theory of alge- braic numbers, excluding class-field theory and its consequences. There are many ways to develop this subject; the latest trend is to neglect the classical Dedekind the

作者: jagged 時(shí)間: 2025-3-22 15:52

作者: 業(yè)余愛好者 時(shí)間: 2025-3-22 17:47
Edwin J. Green,Andrew O. Finley,William E. Strawdermanhe field, did not exist. The explanation is undoubtedly that the subject is still in a stage of early development, and that the methodologies have still a very limited applicability. It is not possible to give rules for general application of fracture mechanics concepts. Yet our comprehension of cra

作者: Arthr- 時(shí)間: 2025-3-22 23:17
Edwin J. Green,Andrew O. Finley,William E. Strawdermandid not exist. The explanation is undoubtedly that the subject is still in a stage of early development, and that the methodologies have still a very limited applicability. It is not possible to give rules for general application of fracture mechanics concepts. Yet our comprehension of cracking and

作者: Anterior 時(shí)間: 2025-3-23 04:14

作者: 惹人反感 時(shí)間: 2025-3-23 06:40

作者: depreciate 時(shí)間: 2025-3-23 11:30

作者: 合并 時(shí)間: 2025-3-23 17:19

作者: 對(duì)待 時(shí)間: 2025-3-23 20:38
General Linear Models,s, is not amenable to analysis via “usual” linear model methodology. For instance, the dependent variable may be a count of some phenomenon, e.g., the number of individuals per plot. Since counts are discrete, they clearly fail the usual normality assumption for dependent variables, which among othe

作者: Osteons 時(shí)間: 2025-3-24 00:37
Spatial Linear Models,tatistical modeling. Key texts in this field include Cressie (.), Cressie and Wikle (.), Chiles and Delfiner (.), M?ller and Waagepetersen (.), Schabenberger and Gotway (.), Wackernagel (.), Diggle and Ribeiro (.), and Banerjee et?al. (.). The statistical literature acknowledges that spatial (and te

作者: 侵害 時(shí)間: 2025-3-24 04:37

作者: enflame 時(shí)間: 2025-3-24 09:32

作者: 完成才會(huì)征服 時(shí)間: 2025-3-24 10:40

作者: Tempor 時(shí)間: 2025-3-24 15:41
Introduction,Bayesian inference in the sciences has become remarkably widespread in the wake of the Markov chain Monte Carlo (MCMC) revolution of the 1990s. MCMC methods permit solutions to Bayesian problems which had previously been mathematically intractable.

作者: 苦惱 時(shí)間: 2025-3-24 22:41
Elementary Bayesian Analyses,Before considering more advanced models which might be used in lieu of standard non-Bayesian approaches such as linear regression or Poisson regression, we start with some relatively simple Bayesian models. These will set the stage for the more sophisticated models covered in later chapters.

作者: 官僚統(tǒng)治 時(shí)間: 2025-3-25 01:01
978-3-030-60752-4Springer Nature Switzerland AG 2020

作者: 銀版照相 時(shí)間: 2025-3-25 04:31
Choice of Prior Distribution,s the concept of “noninformative” priors. Next we introduce improper priors. Following this, we define conjugate priors. We conclude with a brief discussion of how a scientist might specify an informative prior.

作者: 樣式 時(shí)間: 2025-3-25 10:50
Linear Models,ble of interest to another variable, in experimental design contexts where an observation is modeled as a function of variable(s) that represent the experimental design, and in an analysis of covariance context which is a mix of the previous two settings. It also arises in less obvious ways, e.g., in general linear models (GLM).
作者: Popcorn 時(shí)間: 2025-3-25 14:29
Textbook 2020mer on probability distributions is also included because these form the basis of Bayesian inference..Researchers and graduate students in Ecology and Natural Resource Management will find this book a valuable reference..
作者: 小樣他閑聊 時(shí)間: 2025-3-25 18:18
fs and how to construct them. How is this done? Like everything else, by doing. Mathematics students must try to prove results and then have their work criticiz978-0-387-90706-2978-1-4613-8188-4Series ISSN 0172-5939 Series E-ISSN 2191-6675
作者: 周興旺 時(shí)間: 2025-3-25 23:22

作者: figurine 時(shí)間: 2025-3-26 01:49

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作者: 埋葬 時(shí)間: 2025-3-26 10:36
Edwin J. Green,Andrew O. Finley,William E. Strawderman and 4 the clas- sical theory of algebraic numbers is developed. Chapter 5 contains the fun- damental notions of the theory of p-adic fields, and Chapter 6 brings their applications to the study of algebraic nu978-3-642-06010-6978-3-662-07001-7Series ISSN 1439-7382 Series E-ISSN 2196-9922
作者: Self-Help-Group 時(shí)間: 2025-3-26 15:16
Edwin J. Green,Andrew O. Finley,William E. Strawderman
作者: SENT 時(shí)間: 2025-3-26 16:52

作者: 譏諷 時(shí)間: 2025-3-27 00:48
Introduction to Bayesian Methods in Ecology and Natural Resources978-3-030-60750-0
作者: grotto 時(shí)間: 2025-3-27 03:02

作者: Rinne-Test 時(shí)間: 2025-3-27 07:37
Edwin J. Green,Andrew O. Finley,William E. Strawdermanion of fracture mechanics, but it was aimed to treat the subject in a way that may interest both metallurgists and engineers. For the latter, some general knowledge of fracture mechanisms and fracture criteria is indispensable for an apprecia- tion of the limita tions of fracture mechanics. Therefor
作者: puzzle 時(shí)間: 2025-3-27 12:32

作者: 施魔法 時(shí)間: 2025-3-27 17:02
Edwin J. Green,Andrew O. Finley,William E. Strawdermanion of fracture mechanics, but it was aimed to treat the subject in a way that may interest both metallurgists and engineers. For the latter, some general knowledge of fracture mechanisms and fracture criteria is indispensable for an apprecia- tion of the limita tions of fracture mechanics. Therefor
作者: rectocele 時(shí)間: 2025-3-27 19:25
ensive worked examples of biological data analysis, using op.This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management. Bayesian analysis has undergone a remarkable transformation since the ea
作者: INCUR 時(shí)間: 2025-3-27 22:03
Textbook 2020ource management. Bayesian analysis has undergone a remarkable transformation since the early 1990s. Widespread adoption of Markov chain Monte Carlo techniques has made the Bayesian paradigm the viable alternative to classical statistical procedures for scientific inference. The Bayesian approach ha
作者: 輕彈 時(shí)間: 2025-3-28 04:55
Probability Theory and Some Useful Probability Distributions,ution) and the sampling distribution, also referred to as the data model, for the observable data. Hence in this chapter we will review some commonly used probability distributions. Readers already knowledgeable about probability distributions should skim this chapter to insure that they are comfortable with our notation and terminology.
作者: PACT 時(shí)間: 2025-3-28 08:15
Hypothesis Testing and Model Choice,wants to select a single model. In this chapter we consider the situation in which a scientist would like to select one of the candidate models to use for inference. Model selection shares many concepts with hypothesis testing, and so we begin this chapter with a discussion of hypothesis testing.
作者: 咽下 時(shí)間: 2025-3-28 11:11
General Linear Models,r things, specifies the dependent variable is continuous. Or perhaps the dependent variable is a proportion, constrained to lie in the interval (0,1), e.g., the proportion of habitable land in a given area. The latter also fails the normality assumption, which specifies that the dependent variable is defined on the interval (-.).
作者: 遺傳 時(shí)間: 2025-3-28 17:15

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