رکورد قبلیرکورد بعدی

" Environmental and ecological statistics with R / "


Document Type : BL
Record Number : 664658
Doc. No : dltt
Main Entry : Qian, Song S
Title & Author : Environmental and ecological statistics with R /\ Song S. Qian
Series Statement : Chapman & Hall/CRC applied environmental statistics
Page. NO : xix, 421 pages :: illustrations ;; 24 cm
ISBN : 9781420062069
: : 1420062069
Bibliographies/Indexes : Includes bibliographical references (pages 409-416) and index
Contents : pt. 1. Basic concepts. Introduction. The Everglades example ; Statistical issues -- R. What is R? ; Getting started with R ; The R commander -- Statistical assumptions. The normality assumption ; The independence assumption ; The constant variance assumption ; Exploratory data analysis ; From graphs to statistical thinking -- Statistical inference. Estimation of population mean and confidence interval ; Hypothesis testing ; A general procedure ; Nonparametric methods for hypothesis testing ; Significance level [alpha], power 1 - [beta], and p-value ; One-way analysis of variance ; Examples -- part 2. Statistical modeling. Linear models. ANOVA as a linear model ; Simple and multiple linear regression models ; General considerations in building a predictive model ; Uncertainty in model predictions ; Two-way ANOVA -- Nonlinear models. Nonlinear regression ; Smoothing ; Smoothing and additive models -- Classification and regression tree. The Willamette River example ; Statistical methods ; Comments -- Generalized linear model. Logistic regression ; Model interpretation ; Diagnostics ; Seed predation by rodents : a second example of logistic regression ; Poisson regression model ; Generalized additive models -- part 3. Advanced statistical modeling. Simulation for model checking and statistical inference. Simulation ; Summarizing linear and nonlinear regression using simulation ; Simulation based on re-sampling -- Multilevel regression. Multilevel structure and exchangeability ; Multilevel ANOVA ; Multilevel linear regression ; Generalized multilevel models
Subject : Environmental sciences-- Statistical methods
Subject : Ecology-- Statistical methods
Subject : R (Computer program language)
Dewey Classification : ‭550.285/5133‬
LC Classification : ‭GE45.S73‬‭Q25 2010‬
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