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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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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 Data Through Probabilistic Modeling in Statistics

, scheduling, decision making, optimization, simulation, data analysis, and risk analysis and process modeling. However, there are still many;

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Data Analysis, Optimization, and Simulation Modeling (with Printed Access Card), International Edition

DATA ANALYSIS, OPTIMIZATION, AND SIMULATION MODELING, 4e, International Edition is a teach-by-example approach, learner-friendly writing;

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Data Mining and Decision Support

to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling;

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Probability, Statistics, and Reliability for Engineers and Scientists

scientists for the purposes of data and uncertainty analysis and modeling in support of decision making. The third edition of this bestselling;

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Small Area Estimation and Microsimulation Modeling

of the techniques to a large number of substantive problems, including how to build up models, organize and link data, create synthetic microdata;

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Modern Methods for Business Research

organized within three general interrelated topics--Measurement, Decision Analysis, and Modeling. The chapters on measurement discuss;

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Modeling in Medical Decision Making

amounts of data. In parallel, advances in computing have led to a host of new and powerful statistical tools to support decision making;

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Modern Methods for Business Research

organized within three general interrelated topics--Measurement, Decision Analysis, and Modeling. The chapters on measurement discuss;

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A Course on Statistics for Finance

and quantitative finance courses, the book helps both existing and future quants improve their data analysis skills and better understand the;

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Advances in Theoretical and Applied Statistics

including: statistical theory; methods for time series and spatial data; statistical modeling and data analysis; survey methodology and official;

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Lecture Notes in Computational Intelligence and Decision Making

presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: Analysis and Modeling;

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Data Science for Business and Decision Making

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on;

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A Course on Statistics for Finance

elementary statistics courses and quantitative finance courses, this text helps both existing and future quants improve their data analysis skills;

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A Course on Statistics for Finance

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The;

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Modeling and Management of Stochastic Systems

of exceptional investigations in different aspects of stochastic systems and their behavior. It presents a distinct analysis on practical aspects;

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Data Science

, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;

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Practical Data Science with R

examples based in marketing, business intelligence, and decision support. Key features * Data science and statistical analysis for the;

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A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling

. A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the;

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Practical Spreadsheet Modeling Using @Risk

on real data and relevant decision problems Comprehensive use of the @Risk software for simulation analysis, including a free one-year;

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Practical Spreadsheet Modeling Using @Risk

exercises based on real data and relevant decision problems Comprehensive use of the @Risk software for simulation analysis, including a;

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Market Research and Modeling: Progress and Prospects

in marketing and marketing research. This work emphasizes new developments in Bayesian Decision Analysis, Multivariate Analysis, Multidimensional;

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Intelligent Decision Technologies

analysis, big data, data science, decision support, knowledge engineering, and modeling in such diverse areas as finance, cybersecurity, economics;

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Surrogates

uncertainty quantification, sensitivity analysis, calibration of computer models to field data, sequential design/active learning and (blackbox;

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Surrogates

-of-the-loop statistical support (focusing on the science), management of dynamic processes, online and real-time analysis, automation, and;

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Data Mining With Decision Trees

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this;

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