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Mathematical statistics --- Spatial analysis (Statistics) --- Regression analysis. --- Analyse spatiale (Statistique) --- Analyse de régression --- #SBIB:303H10 --- #SBIB:303H520 --- Methoden en technieken: algemene handboeken en reeksen --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Spatial analysis (Statistics). --- Analyse de régression --- Regression analysis --- Analysis, Spatial (Statistics) --- Correlation (Statistics) --- Spatial systems --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Wiskundige statistiek
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This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computation in R and use real social science data from actual, published research. Unique among books at this level, it develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical data as well as counts, duration data, and strategies for dealing with data missingness. By working through examples, math, and code, the authors build an understanding about the contexts in which maximum likelihood methods are useful and develop skills in translating mathematical statements into executable computer code. Readers will not only be taught to use likelihood-based tools and generate meaningful interpretations, but they will also acquire a solid foundation for continued study of more advanced statistical techniques.
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Brings together the best minds of the time in mathematical modeling of conflict dynamics to show that international conflict is an ever-evolving process.
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Explores power relationships in world politics, focusing on what power is and what it is not, on the ways in which power has been assessed, and on the major lessons for international politics that can be gleaned through an analysis of power.
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