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Groundwater --- Parameter estimation. --- Computer simulation.

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Mathematical statistics --- Parameter estimation. --- Inverse problems (Differential equations) --- Inversion (Geophysics) --- Mathematical models. --- Models, Mathematical --- Simulation methods --- Inverse method (Geophysics) --- Inverse problem (Geophysics) --- Inverse theory (Geophysics) --- Inversion models (Geophysics) --- Models, Inversion (Geophysics) --- Prospecting --- Differential equations --- Estimation theory --- Stochastic systems --- Geophysical methods --- Mathematical models --- Parameter estimation

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Phylogeny --- Genomics --- Evolutionary genetics --- Molecular aspects --- 57.087 --- 577.21 --- Phylogenomics --- Methods and techniques for parameter estimation. Recording of biological data. Bioinformatics --- Molecular mechanism of coding, storage and realization of inheritance information. Molecular genetics. Molecular biology of the gene --- Genomics. --- Evolutionary genetics. --- Molecular aspects. --- 577.21 Molecular mechanism of coding, storage and realization of inheritance information. Molecular genetics. Molecular biology of the gene --- Molecular phylogenetics --- Molecular phylogeny --- Molecular biology --- Genome research --- Genomes --- Molecular genetics --- Genetic evolution --- Evolution (Biology) --- Genetics --- Research --- Phylogeny - Molecular aspects

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Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts. The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management. Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation Brings together experts from a broad range of fields Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species Helps you choose the right software Draws on numerous examples based on real biological datasets

Meta-analysis. --- Evolution --- Ecology --- Philosophy --- Creation --- Emergence (Philosophy) --- Teleology --- Medicine --- Psychometrics --- Social sciences --- Mathematical models. --- Statistical methods. --- Research --- Evaluation --- Statistical methods --- Bayesian analysis. --- Bayesian approach. --- Lepidoptera mating. --- allometric scaling. --- average trends. --- biodiversity. --- collaborative research. --- computer software. --- conceptual tool. --- conservation. --- conventional wisdom. --- data analysis. --- data appraisal. --- data collection. --- data extraction. --- data gathering. --- data quality. --- ecology. --- effect size. --- effect sizes. --- evolution. --- evolutionary biology. --- exemplar studies. --- forest plots. --- imputation methods. --- insufficient data. --- interaction effects. --- invasive plants. --- knowledge gaps. --- large-scale monitoring. --- least-squares method. --- literature search. --- management intervention. --- maximum likelihood estimation. --- medicine. --- meta-analysis database. --- meta-analysis. --- meta-analytic process. --- meta-regression plots. --- missing data. --- moment-based approach. --- non-independence. --- parameter estimation. --- partial information. --- phylogenetic nonindependence. --- phylogenetic relationships. --- plant abundance. --- primary data. --- problem formulation. --- publication bias. --- published studies. --- quantitative research synthesis. --- research evidence. --- research pooling. --- research practice. --- research synthesis. --- sample error. --- sampling. --- scatter plots. --- scientific literature. --- scientific publications. --- scoping search. --- sex ratio theory. --- sexual selection. --- small-scale surveys. --- social sciences. --- statistical analysis. --- statistical inference. --- statistical methodology. --- statistical models. --- statistical power. --- statistical software. --- statistical tool. --- study quality. --- study replication. --- study selection. --- subjectivity. --- systematic research synthesis. --- systematic review. --- systematic reviews. --- systematic search. --- temporal change. --- temporal trends. --- visualization.