Seasonally Fit
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Seasonally Fit
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Author : Brian L. Syme
language : en
Publisher:
Release Date : 2007-12-01
Seasonally Fit written by Brian L. Syme and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-01 with Health & Fitness categories.
"Seasonally Fit" is a distillation of the best well-known and emerging science available today. Syme explores nature's driving forces; examines sleep, diet, and exercise; and dispels common myths.
Advances In Business And Management Forecasting
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Author : Kenneth D. Lawrence
language : en
Publisher: Emerald Group Publishing
Release Date : 2021-09-01
Advances In Business And Management Forecasting written by Kenneth D. Lawrence and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Business & Economics categories.
Advances in Business and Management Forecasting presents state-of-the-art studies in the application of forecasting methodologies in such areas as financial forecasting, market demand analysis, executive compensation forecasting, data analysis, forecasting improvement with interpolation and cluster analysis.
Employment And Earnings
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Author :
language : en
Publisher:
Release Date : 2005
Employment And Earnings written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Hours of labor categories.
Handbook Of Engineering Hydrology
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Author : Saeid Eslamian
language : en
Publisher: CRC Press
Release Date : 2014-03-21
Handbook Of Engineering Hydrology written by Saeid Eslamian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-21 with Science categories.
While most books examine only the classical aspects of hydrology, this three-volume set covers multiple aspects of hydrology. It examines new approaches, addresses growing concerns about hydrological and ecological connectivity, and considers the worldwide impact of climate change.It also provides updated material on hydrological science and engine
Stock Assessment For Fishery Management
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Author : Daniel D. Hoggarth
language : en
Publisher: Food & Agriculture Org.
Release Date : 2006
Stock Assessment For Fishery Management written by Daniel D. Hoggarth and has been published by Food & Agriculture Org. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Business & Economics categories.
This publication contains guidelines for fish stock assessment and fishery management using the software tools and other outputs developed by the UK Department for International Development's Fisheries Management Science Programme (FMSP) from 1992 to 2004. It includes a CD-ROM with the installation files for each of the four FMSP software tools: LFDA (Length Frequency Data Analysis), CEDA (Catch Effort Data Analysis), YIELD and ParFish (Participatory Fisheries Stock Assessment).
Machine Learning For Business Analytics
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Author : Galit Shmueli
language : en
Publisher: John Wiley & Sons
Release Date : 2023-03-08
Machine Learning For Business Analytics written by Galit Shmueli and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-08 with Computers categories.
Machine Learning for Business Analytics Machine learning—also known as data mining or data analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the seventh edition of Machine Learning for Business Analytics, and the first using RapidMiner software. This edition also includes: A new co-author, Amit Deokar, who brings experience teaching business analytics courses using RapidMiner Integrated use of RapidMiner, an open-source machine learning platform that has become commercially popular in recent years An expanded chapter focused on discussion of deep learning techniques A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.
Analysing Seasonal Health Data
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Author : Adrian G. Barnett
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-01-08
Analysing Seasonal Health Data written by Adrian G. Barnett and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-08 with Medical categories.
Seasonal patterns have been found in a remarkable range of health conditions, including birth defects, respiratory infections and cardiovascular disease. Accurately estimating the size and timing of seasonal peaks in disease incidence is an aid to understanding the causes and possibly to developing interventions. With global warming increasing the intensity of seasonal weather patterns around the world, a review of the methods for estimating seasonal effects on health is timely. This is the first book on statistical methods for seasonal data written for a health audience. It describes methods for a range of outcomes (including continuous, count and binomial data) and demonstrates appropriate techniques for summarising and modelling these data. It has a practical focus and uses interesting examples to motivate and illustrate the methods. The statistical procedures and example data sets are available in an R package called ‘season’.
Principles Of Managerial Statistics And Data Science
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Author : Roberto Rivera
language : en
Publisher: John Wiley & Sons
Release Date : 2020-02-05
Principles Of Managerial Statistics And Data Science written by Roberto Rivera and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-05 with Mathematics categories.
Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on driver’s race Visualizing the association between fat percentage and moisture percentage in Canadian cheese Modeling taxi fares in Chicago using data from millions of rides Analyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chi-square tests, non-parametric methods, and time series methods. The textbook: Includes academic material usually covered in introductory Statistics courses, but with a data science twist, and less emphasis in the theory Relies on Minitab to present how to perform tasks with a computer Presents and motivates use of data that comes from open portals Focuses on developing an intuition on how the procedures work Exposes readers to the potential in Big Data and current failures of its use Supplementary material includes: a companion website that houses PowerPoint slides; an Instructor's Manual with tips, a syllabus model, and project ideas; R code to reproduce examples and case studies; and information about the open portal data Features an appendix with solutions to some practice problems Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and a reference book for working business professionals.
Forecasting Time Series Data With Facebook Prophet
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Author : Greg Rafferty
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-03-12
Forecasting Time Series Data With Facebook Prophet written by Greg Rafferty and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-12 with Computers categories.
Create and improve high-quality automated forecasts for time series data that have strong seasonal effects, holidays, and additional regressors using Python Key Features Learn how to use the open-source forecasting tool Facebook Prophet to improve your forecasts Build a forecast and run diagnostics to understand forecast quality Fine-tune models to achieve high performance, and report that performance with concrete statistics Book Description Prophet enables Python and R developers to build scalable time series forecasts. This book will help you to implement Prophet's cutting-edge forecasting techniques to model future data with higher accuracy and with very few lines of code. You will begin by exploring the evolution of time series forecasting, from the basic early models to the advanced models of the present day. The book will demonstrate how to install and set up Prophet on your machine and build your first model with only a few lines of code. You'll then cover advanced features such as visualizing your forecasts, adding holidays, seasonality, and trend changepoints, handling outliers, and more, along with understanding why and how to modify each of the default parameters. Later chapters will show you how to optimize more complicated models with hyperparameter tuning and by adding additional regressors to the model. Finally, you'll learn how to run diagnostics to evaluate the performance of your models and see some useful features when running Prophet in production environments. By the end of this Prophet book, you will be able to take a raw time series dataset and build advanced and accurate forecast models with concise, understandable, and repeatable code. What you will learn Gain an understanding of time series forecasting, including its history, development, and uses Understand how to install Prophet and its dependencies Build practical forecasting models from real datasets using Python Understand the Fourier series and learn how it models seasonality Decide when to use additive and when to use multiplicative seasonality Discover how to identify and deal with outliers in time series data Run diagnostics to evaluate and compare the performance of your models Who this book is for This book is for data scientists, data analysts, machine learning engineers, software engineers, project managers, and business managers who want to build time series forecasts in Python. Working knowledge of Python and a basic understanding of forecasting principles and practices will be useful to apply the concepts covered in this book more easily.
Data Collection Processing And Presentation
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Author : United States. National Commission on Employment and Unemployment Statistics
language : en
Publisher:
Release Date : 1980
Data Collection Processing And Presentation written by United States. National Commission on Employment and Unemployment Statistics and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Labor supply categories.