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Simulation and Statistics with Excel: An Introduction to Business Students

Автор: Limpopo5 от Вчера, 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.

Теория распознавания образов в экономических исследованиях

Автор: natagu от 2024-01-28, 07:44:55
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Теория распознавания образов в экономических исследованиях
Автор: Розин Б.Б.
Название: Теория распознавания образов в экономических исследованиях. Монография
Издательство: М.: Статистика
Год: 1973
Язык: Русский
Формат: djvu
Размер: 23,9 Мб
Качество: хорошее, текстовый слой, оглавление.
Кол-во страниц: 224

Описание: Интенсивная разработка области распознавания образов имеет принципиальное значение для развития теории и практики математического моделирования экономических процессов, передачи функций планирования и управления от человека к машине.

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.

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.

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!

Статистика без подвоха

Автор: Limpopo5 от 2023-11-23, 02:57:17
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Статистика без подвохаНазвание: Статистика без подвоха: Методы критического анализа данных и причинного вывода
Автор: Итaн Бyэнo дe Mecкитa, Энтoни Фayлep
Издательство: ДМК Пресс
Год: 2023
Страниц: 455
Язык: русский
Формат: pdf
Размер: 17.4 MB

Введение в науку о данных или статистику не должно начинаться с доказательства сложных теорем или запоминания терминов и формул, но именно так устроены многие учебники по количественному анализу. В отличие от них эта книга посвящена критическому мышлению и концептуальному пониманию; она учит читателей быть вдумчивыми потребителями и аналитиками тех видов информации и аргументов, с которыми они будут сталкиваться на протяжении всей своей жизни. Книга, наполненная реальными примерами, показывает, как инструменты критического анализа применяются к проблемам в самых разных областях, включая выборы, гражданские конфликты, преступность, терроризм, финансовые кризисы, здравоохранение, спорт, музыку и космические путешествия. Прочитав эту книгу, вы узнаете, почему, несмотря на обширное применение данных в современном мире, они никогда не смогут заменить критическое мышление. В конце каждой главы есть упражнения, которые читатели могут выполнить самостоятельно, чтобы убедиться, что они усвоили материал. Некоторые из этих упражнений включают анализ данных, с ним могут справиться читатели и студенты, которые научились (или учатся) использовать статистическое рограммное обеспечение, такое как Stata или R.

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.

Introductory Statistics for Data Analysis

Автор: Limpopo5 от 2023-05-15, 04:51:42
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Introductory Statistics for Data AnalysisНазвание: Introductory Statistics for Data Analysis
Автор: Warren J. Ewens, Katherine Brumberg
Издательство: Springer
Год: 2023
Страниц: 272
Язык: английский
Формат: pdf (true), epub
Размер: 10.6 MB

This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical topics then include parameter estimation with confidence intervals, hypothesis testing, chi-square tests, t tests, and several non-parametric tests. Flow charts are frequently used to facilitate an understanding of the material considered. The examples and problems in the book all concern simple data sets which can be analyzed with a simple calculator; however, the R code required to complete many examples and problems is provided as well for those that are interested.


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