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A Solution to the Ecological Inference Problem

This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five;

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Ecological Inference

Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference;

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Ecological Inference

Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference;

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Ecological Inference

Explores the utility of techniques designed to make the inferences in causal modeling more reliable, including a comparison between;

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Foundations of Inference in Natural Science

of probability that seem to bear on the problem of induction and Part IV outlines the shape of this problem and its solution take if transformed by the;

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Foundations of Inference in Natural Science

of probability that seem to bear on the problem of induction and Part IV outlines the shape of this problem and its solution take if transformed by the;

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Hierarchical Modeling and Inference in Ecology

of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population;

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Environmental and Ecological Statistics with R

explains the approach to solving a statistical problem, covering model specification, parameter estimation, and model evaluation. It includes many;

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Environmental and Ecological Statistics with R

explains the approach to solving a statistical problem, covering model specification, parameter estimation, and model evaluation. It includes many;

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Models Of The Ecological Hierarchy

In the application of statistics to ecological inference problems, hierarchical models combine explicit models of ecological system;

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Ochre Pollution as an Ecological Problem in the Aquatic Environment - Solution Attempts from Denmark

With her paper "Ochre Pollution as an Ecological Problem in the Aquatic Environment - Solution Attempts from Denmark" the german;

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Bayesian Inference for Probabilistic Risk Assessment

-source program called OpenBUGS (commonly referred to as WinBUGS) to solve the inference problems that are described. A powerful feature;

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Imperfect Phylogeny Haplotype Inference

previous models and solutions to the haplotype inference problem and engineer algorithms that would infer haplotypes from genotypes in the presence;

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Information, Inference and Decision

. A special problem arising in the context of the new theory, viz., the problem of vagueness of concepts (in particular in the social sciences;

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Cross-Level Inference

statistical analysis of them is fraught with pitfalls. The recent debates have led to a new menu of choices for the applied researcher. This volume;

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The Death of a Giant

Where any problem is concerned the solution is proven to be the solution by the effect that it has on the problem. If what is applied to;

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Ecological Metapolitics

Ecological Metapolitics, for the first time, attempts to realize a synthesis between the problem of ecology and some fundamental concepts;

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Inference and Consciousness

. Inference is also a key notion in influential psychological accounts of mental capacities, ranging from problem-solving to perception. Consciousness;

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Bayesian Deconvolution of Sparse Processes

is demonstrated by experiments on both simulated and real data. Finally, a preliminary theoretical solution to a challenging problem of blind estimation;

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Handbook of Inland Aquatic Ecosystem Management

examines toolboxes to help you identify the problem, namely mass balances, ecological indicators, and ecological models. It also discusses;

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Logical Abilities in Children: Volume 2: Logical Inference

solution of certain syllogistic reasoning problems. Testable predictions of the model are easily derived, and the available evidence supports the;

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Logical Abilities in Children: Volume 2: Logical Inference

solution of certain syllogistic reasoning problems. Testable predictions of the model are easily derived, and the available evidence supports the;

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Logic-Based Methods for Optimization

A pioneering look at the fundamental role of logic in optimization and constraint satisfaction While recent efforts to combine optimization;

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Optimization Methods For Logical Inference

problems with optimization methods may seem a bit like eating sauerkraut with chopsticks...it is the mathematical structure of a problem that;

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Nonparametric Inference of Utilites

formally a probability measure. Finally, we present and prove our main result. In Chapter 4, Irrational Behavior, we present a solution for the;

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Statistical Foundations of Econometric Modelling

solution of problems in econometric modelling. This makes it an ideal introduction to empirical econometric modelling and the more advanced;

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Advances in Info-Metrics

of the nineteen chapters provides the necessary tools for using the info-metrics framework to solve a problem. The collection covers recent;

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