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Simulation and Statistics with Excel: An Introduction to Business Students

Автор: Limpopo5 от Сегодня, 08:48
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Simulation and Statistics with Excel: An Introduction to Business StudentsНазвание: Simulation and Statistics with Excel: An Introduction to Business Students
Автор: Luis Fеrnаndо Ibаrrа
Издательство: CRC Press
Год: 2024
Страниц: 291
Язык: английский
Формат: pdf (true)
Размер: 26.6 MB

The use of simulation techniques has increased in importance in recent history, and simulation activities are an important resource for advanced preparation for the organization and execution of events. When formal mathematics is not enough, simulation may be the only option capable of approximating solutions. Simulation and Statistics with Excel: An Introduction to Business Students offers a non-rigorous and practical tour of the simulation procedure on computers, using a versatile and accessible resource, the Microsoft Excel spreadsheet. This book covers the concepts essential to understanding the basic principles and approaches of statistical simulation, allowing for the study of complex systems. Aimed at students in business and operational research beginning to use simulation as an instrument for understanding existing or proposed processes, this book will lay solid foundations in understanding simulation experimentation.

Multilevel Modeling Using R, 3rd Edition

Автор: Limpopo5 от 2024-02-20, 15:16:04
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Multilevel Modeling Using R, 3rd EditionНазвание: Multilevel Modeling Using R, 3rd Edition
Автор: W. Ноlmеs Finсh, Jосеlуn Е. Воlin
Издательство: Springer
Год: 2024
Страниц: 339
Язык: английский
Формат: pdf (true)
Размер: 10.9 MB

Like its bestselling predecessor, Multilevel Modeling Using R, Third Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single-level and multilevel data. The third edition of the book includes several new topics that were not present in the second edition. Specifically, a new chapter has been included, focussing on fitting multilevel latent variable modeling in the R environment. With R, it is possible to fit a variety of latent variable models in the multilevel context, including factor analysis, structural models, item response theory, and latent class models. The third edition also includes new sections in Chapter 11 describing two useful alternatives to standard multilevel models, fixed effects models and generalized estimating equations.

Statistics and Data Analysis for Engineers and Scientists

Автор: Limpopo5 от 2024-01-12, 17:06:35
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Statistics and Data Analysis for Engineers and ScientistsНазвание: Statistics and Data Analysis for Engineers and Scientists
Автор: Таnvir Мustаfу, Мd. Таuhid Ur Rаhmаn
Издательство: Springer
Год: 2024
Страниц: 190
Язык: английский
Формат: pdf
Размер: 10.1 MB

This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs—Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and Machine Learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses, and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.

Statistics Slam Dunk: Statistical analysis with R on real NBA data (Final Release)

Автор: Limpopo5 от 2024-01-11, 08:31:02
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Statistics Slam Dunk: Statistical analysis with R on real NBA data (Final Release)Название: Statistics Slam Dunk: Statistical analysis with R on real NBA data (Final Release)
Автор: Gаrу Suttоn
Издательство: Manning Publications
Год: 2024
Страниц: 672
Язык: английский
Формат: pdf (true)
Размер: 16.8 MB

Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. Statistics Slam Dunk upgrades your R data science skills by taking on practical analysis challenges based on NBA game and player data. Is losing games on purpose a rational strategy? Which hustle statistics have an impact on wins and losses? Each chapter in this one-of-a-kind guide uses new data science techniques to reveal interesting insights like these. And just like in the real world, you’ll get no clean pre-packaged datasets in Statistics Slam Dunk. You’ll take on the challenge of wrangling messy data to drill on the skills that will make you the star player on any data team. Amazing insights are hiding in raw data, and statistical analysis with R can help reveal them! R was built for data, and it supports modeling and statistical techniques including regression and classification models, time series forecasts, and clustering algorithms. And when you want to see your results, R’s visualizations are stunning, with best-in-class plots and charts. Statistics Slam Dunk: Statistical analysis with R on real NBA data is an interesting and engaging how-to guide for statistical analysis using R. It’s packed with practical statistical techniques, each demonstrated using real-world data taken from NBA games. In each chapter, you’ll discover a new (and sometimes surprising!) insight into basketball, with careful step-by-step instructions on how to generate those revelations.

MATLAB Statistics and Machine Learning Toolbox User’s Guide (R2023b)

Автор: Limpopo5 от 2023-12-25, 07:38:29
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MATLAB Statistics and Machine Learning Toolbox User’s Guide (R2023b)Название: MATLAB Statistics and Machine Learning Toolbox User’s Guide (R2023b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2023
Страниц: 1176
Язык: английский
Формат: pdf (true)
Размер: 53.4 MB

Analyze and model data using statistics and Machine Learning. Statistics and Machine Learning Toolbox provides functions and apps to describe, analyze, and model data. You can use descriptive statistics, visualizations, and clustering for exploratory data analysis, fit probability distributions to data, generate random numbers for Monte Carlo simulations, and perform hypothesis tests. Regression and classification algorithms let you draw inferences from data and build predictive models either interactively, using the Classification and Regression Learner apps, or programmatically, using AutoML. For multidimensional data analysis and feature extraction, the toolbox provides principal component analysis (PCA), regularization, dimensionality reduction, and feature selection methods that let you identify variables with the best predictive power. The toolbox provides supervised, semi-supervised and unsupervised machine learning algorithms, including support vector machines (SVMs), boosted decision trees, k-means, and other clustering methods. You can apply interpretability techniques such as partial dependence plots and LIME, and automatically generate C/C++ code for embedded deployment. Many toolbox algorithms can be used on data sets that are too big to be stored in memory. MATLAB Coder generates readable and portable C and C++ code from Statistics and Machine Learning Toolbox functions that support code generation. You can integrate the generated code into your projects as source code, static libraries, or dynamic libraries.

Statistics Using Python

Автор: Limpopo5 от 2023-12-15, 19:52:43
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Statistics Using PythonНазвание: Statistics Using Python
Автор: Оswаld Саmреsаtо
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 273
Язык: английский
Формат: pdf (true)
Размер: 18.0 MB

This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors. The ability to extract meaningful insights from data requires a deep understanding of statistics. The book ensures that each topic is introduced with clarity, followed by executable Python code samples that can be modified and applied according to individual needs. Topics include working with data and exploratoryanalysis, the basics of probability, descriptive and inferential statistics and their applications, metrics for data analysis, probability distributions, hypothesis testing, and more. Appendices on Python and Pandas have been included. From foundational Python concepts to the intricacies of statistics, this book serves as a comprehensive resource for both beginners and seasoned professionals.

Molecular Networking: Statistical Mechanics in the Age of AI and Machine Learning

Автор: Limpopo5 от 2023-12-15, 05:44:19
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Molecular Networking: Statistical Mechanics in the Age of AI and Machine LearningНазвание: Molecular Networking: Statistical Mechanics in the Age of AI and Machine Learning
Автор: Саrоlinе Dеsgrаngеs, Jеrоmе Dеlhоmmеllе
Издательство: CRC Press
Год: 2024
Страниц: 249
Язык: английский
Формат: pdf (true)
Размер: 26.8 MB

The book builds on the analogy between social groups and assemblies of molecules to introduce the concepts of statistical mechanics, Machine Learning and Data Science. Applying a data analytics approach to molecular systems, we show how individual (molecular) features and interactions between molecules, or "communication" processes, allow for the prediction of properties and collective behavior of molecular systems - just as polling and social networking shed light on the behavior of social groups. Applications to systems at the cutting-edge of research for biological, environmental, and energy applications are also presented. Social networks, Machine Learning, and Artificial Intelligence (AI) have become part of our daily lives. We live in an era where data analysis is present in all aspects of society and a driving force for many decisions that impact our present and future. While statistics have long played a significant role in numbers-driven domains, the development of novel machine learning algorithms, combined with the increase in computing performance and data storage, has led to a paradigm shift in how we approach and address challenges. For instance, in human health, the concept of precision medicine, which considers the individual features of a patient, has emerged as a promising alternative to one-size-fits-all medical treatments. Similarly, the sampling of opinion through polling methods had been for decades a staple of, for example, commercial and political analyses. It is now complemented by the analysis of data from social networks, which provide a window into human interactions and the interrelation between individual and collective responses.

Business Statistics For Dummies, 2nd Edition

Автор: Limpopo5 от 2023-12-13, 20:39:49
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Business Statistics For Dummies, 2nd EditionНазвание: Business Statistics For Dummies, 2nd Edition
Автор: Аlаn Аndеrsоn
Издательство: For Dummies
Год: 2024
Страниц: 403
Язык: английский
Формат: pdf (true)
Размер: 15.7 MB

Make some headway in the notoriously tough subject of business statistics. Business Statistics For Dummies helps you understand the core concepts and principles of business statistics, and how they relate to the business world. This book tracks to a typical introductory course offered at the undergraduate, so you know you'll find all the content you need to pass your class and get your degree. You'll get an introduction to statistical problems and processes common to the world of global business and economics. Written in clear and simple language, Business Statistics For Dummies gives you an introduction to probability, sampling techniques and distributions, and drawing conclusions from data. You'll also discover how to use charts and graphs to visualize the most important properties of a data set. This book is designed to show you how to apply statistics to practical situations in a step-by-step manner so that by the time you’re done, you’ll know as much about statistics as people with far more education in this area!

Business Statistics Using Excel: A Complete Course in Data Analytics

Автор: Limpopo5 от 2023-11-28, 03:42:53
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Business Statistics Using Excel: A Complete Course in Data AnalyticsНазвание: Business Statistics Using Excel: A Complete Course in Data Analytics
Автор: R. Раnnееrsеlvаm
Издательство: Routledge
Год: 2024
Страниц: 694
Язык: английский
Формат: pdf (true)
Размер: 50.2 MB

This book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business decisions. It showcases applications of the tools and techniques of statistics for analysing business data from the domain of business statistics. The volume provides an exhaustive introduction to the application of statistics in solving business problems and implementing data analytics for effective decision making in all kinds of business situations around the world. With an emphasis on simplicity in presentation of concepts of statistical methods and associated Excel functions, the volume explores the implementation of Excel functions through well-defined sequences of steps. Comprehensive in scope and simple in approach, this book will be key for students and researchers of business studies, business administration, economics, finance, commerce, data analytics/science, and Computer Science. This will also serve as useful guidebook for business executives and working professionals across the globe.

Models for Multi-State Survival Data

Автор: Limpopo5 от 2023-11-08, 14:25:40
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Models for Multi-State Survival DataНазвание: Models for Multi-State Survival data: Rates, Risks, and Pseudo-Values
Автор: Реr Кrаgh Аndеrsеn, Неnrik Rаvn
Издательство: CRC Press
Серия: Texts in Statistical Science Series
Год: 2023
Страниц: 293
Язык: английский
Формат: pdf (true)
Размер: 11.0 MB

Multi-state models provide a statistical framework for studying longitudinal data on subjects when focus is on the occurrence of events that the subjects may experience over time. They find application particularly in biostatistics, medicine, and public health. The book includes mathematical detail which can be skipped by readers more interested in the practical examples. It is aimed at biostatisticians and at readers with an interest in the topic having a more applied background, such as epidemiology. This book builds on several courses the authors have taught on the subject. Key · Intensity-based and marginal models. · Survival data, competing risks, illness-death models, recurrent events. · Includes a full chapter on pseudo-values. · Intuitive introductions and mathematical details. · Practical examples of event history data. · Exercises. Software code in R and SAS and the data used in the book can be found on the book’s webpage.

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