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Correlated Data Analysis

This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the;

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Spatial Statistics and Spatio-Temporal Data

various data structures. Key features: * An extensive introduction to spatial methodology including a survey of spatial covariance functions and;

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Hands-On Business Intelligence with DAX

Implement business intelligence (BI), data modeling, and data analytics within Microsoft products such as Power BI, SQL Server, and Excel;

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Mathematical Models of Crop Growth and Yield

maximize water and nutrient resources, this reference describes the application of viable mathematical models in data analysis to increase crop;

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Pro DAX and Data Modeling in Power BI

off teaching you how to define and enhance the core structures of your data model to make it a true semantic layer that transforms complex;

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Pro DAX and Data Modeling in Power BI

teaching you how to define and enhance the core structures of your data model to make it a true semantic layer that transforms complex data into;

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Generalized Linear Models

response data, and identifies areas of important future research and new applications of GLMs.;

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Statistical Models

sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain;

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Statistical Models

sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain;

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Pandas for Everyone

extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data;

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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

Quantitative biomedical data analysis is a fast-growing interdisciplinary area of applied and computational mathematics, statistics;

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Functions, Data, and Models

courses in other fields, such as biology, chemistry, business, finance, economics, and other areas that are heavily dependent on data either from;

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Microsoft Excel Functions Quick Reference

data analysis, dashboards, models, and templates. The Microsoft Excel Functions Quick Reference helps you set up workbooks, enter data, and;

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Beginning MATLAB and Simulink

started using MATLAB and Simulink Carry out data visualization with MATLAB Gain the programming and modeling essentials of MATLAB Build a GUI;

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The Statistical Analysis of Recurrent Events

This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage;

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The Statistical Analysis of Recurrent Events

This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage;

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Methods and Applications of Longitudinal Data Analysis

Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical;

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Beginning MATLAB and Simulink

proficient at using MATLAB and Simulink and applying the source code and models from the book's examples as templates for your own projects in data;

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An Introduction to Survival Analysis Using Stata, Revised Third Edition

models. Survival analysis is a field of its own that requires specialized data management and analysis procedures. To meet this requirement;

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Functional Data Analysis with R and MATLAB

as spline basis functions, data smoothing, curve registration, functional linear models and dynamic systems Functional data analysis is put;

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Flexible Regression and Smoothing

This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the;

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Flexible Regression and Smoothing

This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the;

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Optimization and Inventory Management

, and data mining concepts. It also provides sensitivity analyses for the models' robustness. It presents a collection of mathematical models;

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Statistical Modelling with Quantile Functions

Galton used quantiles more than a hundred years ago in describing data. Tukey and Parzen used them in the 60s and 70s in describing;

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Statistical Modelling with Quantile Functions

Galton used quantiles more than a hundred years ago in describing data. Tukey and Parzen used them in the 60s and 70s in describing;

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Automated Data Analysis Using Excel

examples in using ADO, DAO, and SQL queries to retrieve data from databases for analysis. Operations such as fully automated linear and non-linear;

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Automated Data Analysis Using Excel

examples in using ADO, DAO, and SQL queries to retrieve data from databases for analysis. Operations such as fully automated linear and non-linear;

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