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Analyzing Data Through Probabilistic Modeling in Statistics

research on the impact of such probabilistic modeling with other approaches. Analyzing Data Through Probabilistic Modeling in Statistics is an;

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An introduction to mathematical statistics

Statistics is the science that focuses on drawing conclusions from data, by modeling and analyzing the data using probabilistic models;

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An introduction to mathematical statistics

Statistics is the science that focuses on drawing conclusions from data, by modeling and analyzing the data using probabilistic models;

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Uncertainty

, statistics, and science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models. Its jargon-free;

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Uncertainty

science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models. Its jargon-free approach asserts that;

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Statistics, Data Analysis And Decision Modeling

This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical;

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Analyzing Ecological Data

This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non;

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Analyzing Ecological Data

This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non;

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Statistics, Data Analysis, and Deci

For undergraduate and graduate level courses that combines introductory statistics with data analysis or decision modeling. A pragmatic;

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Modeling The Internet And The Web

Modeling the Internet and the Web covers the most important aspects of modeling the Web using a modern mathematical and probabilistic;

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Bayesian Analysis with Python

data analyses using PyMC3 and ArviZ A modern, practical and computational approach to Bayesian statistical modeling A tutorial for Bayesian;

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Categorical Statistics for Communication Research

Categorical Statistics for CommunicationResearch presents scholars with a discipline-specific guide to categorical data analysis. The text;

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Modeling and Simulation for Analyzing Global Events

qualitative analysis. With an emphasis on gathering and mapping empirical data, the authors detail the steps needed for accurately analyzing global;

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Statistics 101: From Data Analysis and Predictive Modeling to Measuring Distribution and Determining Probability, Your Essential Guide

A comprehensive guide to statistics-with information on collecting, measuring, analyzing, and presenting statistical data-continuing the;

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Analyzing and Modeling Rank Data

information discussed presents the use of data consisting of rankings in such diverse fields as psychology, animal science, educational testing;

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Probabilistic Networks and Expert Systems

Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while;

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Probabilistic Approaches to Recommendations

Next, we introduce and discuss probabilistic approaches for modeling preference data. We focus our attention on methods based on latent factors;

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Probabilistic Approaches to Recommendations

Next, we introduce and discuss probabilistic approaches for modeling preference data. We focus our attention on methods based on latent factors;

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Operational Risk

is organized around the principle that the analysis of operational risk consists, in part, of the collection of data and the building of mathematical;

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Applied Analytics through Case Studies Using SAS and R

understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data;

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Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases

of Infectious Diseases features: * Approaches to better use infectious disease data collected from various sources for analysis and modeling purposes;

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Statistics for Earth and Environmental Scientists

concepts through data analytic tools and shows readers how to apply them to real-world problems. The authors present several different statistical;

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Applied Probabilistic Calculus for Financial Engineering

multivariate data analysis. It examines probabilistic calculus for modeling financial engineering-walking the reader through building an effective;

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How to Analyze Data

-by-step through the statistical process, it introduces the steps involved in successfully describing, analyzing and interpreting data and;

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Probabilistic Methods for Bioinformatics

in biological data analysis. Unique coverage of probabilistic reasoning methods applied to bioinformatics data--those methods that are;

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Statistics in Early Childhood and Primary Education

children's (ages 3-10) understanding of data and chance. It provides a comprehensive overview of cutting-edge international research on the;

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Capacity Building at the Kurdistan Region Statistics Office Through Data Collection

The Kurdistan Region of Iraq needs policy-relevant data to help improve infrastructure, encourage the private sector, attract foreign;

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