• Practical Statistics for Data Scientists: 50 Essential Concepts

    Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quic... [Read More]

    • ASIN: B071NVDFD6
    • ASIN: B071NVDFD6
    • Manufacturer: O'Reilly Media

  • Applied Economic Forecasting using Time Series Methods

    Economic forecasting is a key ingredient of decision making both in the public and in the private sector. Because economic outcomes are the result of a vast, complex, dynamic and stochastic system, forecasting is very difficult and forecast errors are unavoidable.Because forecast precision and reliability can be enhanced by the use of proper econometric models and methods, this innovative book provides an overview of both theory and applications. Undergraduate and graduate students learning basic and advanced forecasting techniques will be able to build from strong foundations, and researchers... [Read More]

    • ASIN: 0190622016
    • ASIN: 0190622016
    • ISBN: 0190622016
    • Manufacturer: Oxford University Press

  • Machine Learning with Python: A Step-By-Step Guide to Learn and Master Python Machine Learning

    Are you stuck in getting started with machine learning with python? A Step-By-Step Guide to Learn and Master Python Machine Learning walks you through steps for getting started with Machine Learning with Python. Python is a popular and open-source programming language. In addition, it is one of the most applied languages in artificial intelligence and other scientific fields. On the other hand, machine learning is a branch of AI that applied algorithms to learn from data and create predictions. Machine learning is important in predicting the world around us.All the way from self-driving cars t... [Read More]

    • ASIN: B07KVLCH6N
    • ASIN: B07KVLCH6N

  • Best Fit Lines & Curves: And Some Mathe-Magical Transformations (Working Guides to Estimating & Forecasting Book 3)

    Best Fit Lines and Curves, and Some Mathe-Magical Transformations (Volume III of the Working Guides to Estimating & Forecasting series) concentrates on techniques for finding the Best Fit Line or Curve to some historical data allowing us to interpolate or extrapolate the implied relationship that will underpin our prediction. A range of simple ‘Moving Measures’ are suggested to smooth the underlying trend and quantify the degree of noise or scatter around that trend. The advantages and disadvantages are discussed and a simple way to offset the latent disadvantage of most Moving Measure Tec... [Read More]

    • ASIN: B07H31Y7SB
    • ASIN: B07H31Y7SB
    • Manufacturer: Routledge

  • Business Analytics

    Build valuable skills that are in high demand in today's businesses with BUSINESS ANALYTICS, 3E. You master the full range of analytics as you strengthen your descriptive, predictive and prescriptive analytic skills. Real-world examples and visuals help illustrate data and results for each topic. Clear, step-by-step instructions for various software programs, including Microsoft Excel, Analytic Solver, and JMP Pro, teach you how to perform the analyses discussed. Practical, relevant problems at all levels of difficulty further help you apply what you've learned to succeed in your course.

    • ASIN: 1337406422
    • ASIN: 1337406422
    • ISBN: 9781337406420
    • Manufacturer: Cengage Learning

  • An Introduction to Time Series Analysis and Forecasting: With Applications of SAS® and SPSS®

    Providing a clear explanation of the fundamental theory of time series analysis and forecasting, this book couples theory with applications of two popular statistical packages--SAS and SPSS. The text examines moving average, exponential smoothing, Census X-11 deseasonalization, ARIMA, intervention, transfer function, and autoregressive error models and has brief discussions of ARCH and GARCH models. The book features treatments of forecast improvement with regression and autoregression combination models and model and forecast evaluation, along with a sample size analysis for common time serie... [Read More]

    • ASIN: 0127678700
    • ASIN: 0127678700
    • ISBN: 0127678700
    • Manufacturer: Academic Press

  • Applied Bayesian Forecasting and Time Series Analysis (Chapman & Hall/CRC Texts in Statistical Science)

    Practical in its approach, Applied Bayesian Forecasting and Time Series Analysis provides the theories, methods, and tools necessary for forecasting and the analysis of time series. The authors unify the concepts, model forms, and modeling requirements within the framework of the dynamic linear mode (DLM). They include a complete theoretical development of the DLM and illustrate each step with analysis of time series data. Using real data sets the authors: Explore diverse aspects of time series, including how to identify, structure, explain observed behavior, model structures and behaviors, an... [Read More]

    • ASIN: 0412044013
    • ASIN: 0412044013
    • ISBN: 0412044013
    • Manufacturer: Chapman and Hall/CRC

  • Introduction to Time Series and Forecasting (Springer Texts in Statistics)

    This is an introduction to time series that emphasizes methods and analysis of data sets. The logic and tools of model-building for stationary and non-stationary time series are developed and numerous exercises, many of which make use of the included computer package, provide the reader with ample opportunity to develop skills. Statisticians and students will learn the latest methods in time series and forecasting, along with modern computational models and algorithms.

    • ASIN: 0387953515
    • ASIN: 0387953515
    • ISBN: 0387953515
    • Manufacturer: Springer

  • Statistics for Management and Economics + XLSTAT Bind-in

    Discover how statistical methods and tools are vital for today's managers as you learn how to apply these tools to real business problems. STATISTICS FOR MANAGEMENT AND ECONOMICS, 11E emphasizes applications over calculation using a proven three-step "ICI" approach to problem solving. You learn how to IDENTIFY the correct statistical technique by focusing on the problem objective and data type; how to COMPUTE the statistics by hand or using Excel or XLSTAT; and how to INTERPRET results in the context of the problem. Extensive data-driven examples, exercises, and cases address the functional ar... [Read More]

    • ASIN: 1337093459
    • ASIN: 1337093459
    • ISBN: 1337093459
    • Manufacturer: Cengage Learning

  • Statistics for Business & Economics, Revised (with XLSTAT Education Edition Printed Access Card)

    Get more out of your statistics course than simply solving equations. Discover how statistical information enables strong decisions in today's business world with STATISTICS FOR BUSINESS AND ECONOMICS, REVISED 13E. Sound methodology combines with a proven problem-scenario approach, and meaningful applications for the most powerful approach to mastering critical business statistics. This edition's prestigious author team brings together more than 25 years of unmatched experience to this thoroughly updated text. More than 350 real business examples, timely cases, and memorable exercises present ... [Read More]

    • ASIN: 1337094161
    • ASIN: 1337094161
    • ISBN: 1337094161
    • Manufacturer: Cengage Learning

  • Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card)

    Gain a strong conceptual understanding of statistics as MODERN BUSINESS STATISTICS, 6E balances real-world applications with an integrated focus on Microsoft Excel 2016. This best-selling, comprehensive book clearly develops each statistical technique in an application setting. The integrated approach focuses on statistical methodology with an easy-to-follow presentation of a statistical procedure followed by a discussion of how to use Excel to perform the procedure. Step-by-step instructions and screen captures ensure understanding. Business examples, proven methods, and application exercises... [Read More]

    • ASIN: 1337115185
    • ASIN: 1337115185
    • ISBN: 1337115185
    • Manufacturer: Cengage Learning

  • Statistics for Business & Economics

    Discover how statistical information impacts decisions in today's business world as Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's leading STATISTICS FOR BUSINESS AND ECONOMICS, 14E connects concepts in each chapter to real-world practice. This edition delivers sound statistical methodology, a proven problem-scenario approach and meaningful applications that reflect the latest developments in business and statistics today. More than 350 new and proven real business examples, a wealth of practical cases and meaningful hands-on exercises highlight statistics in action. You gain practice us... [Read More]

    • ASIN: 1337901067
    • ASIN: 1337901067
    • ISBN: 1337901067
    • Manufacturer: South-Western College Pub

  • Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series (Lecture Notes in Statistics)

    Time series play a crucial role in modern economies at all levels of activity and are used by decision makers to plan for a better future. Before publication time series are subject to statistical adjustments and this is the first statistical book to systematically deal with the methods most often applied for such adjustments. Regression-based models are emphasized because of their clarity, ease of application, and superior results. Each topic is illustrated with real case examples. In order to facilitate understanding of their properties and limitations of the methods discussed a real data ex... [Read More]

    • ASIN: 0387311025
    • ASIN: 0387311025
    • ISBN: 0387311025
    • Manufacturer: Springer

  • Forecasting and Time Series: An Applied Approach (The Duxbury Advanced Series in Statistics and Decision Sciences)

    This comprehensive book introduces students to time series and forecasting techniques. The prerequisites are college algebra and basic statistics. It contains complete coverage of linear regression analysis, which provides much of the conceptual foundation of forecasting.

    • ASIN: 0534932517
    • ASIN: 0534932517
    • ISBN: 0534932517
    • Brand: Brand: Duxbury Pr
    • Manufacturer: South-Western College Pub

  • Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach

    This book offers an in-depth and up-to-date review of different statistical tools that can be used to analyze and forecast the dynamics of two crucial for every energy company processes—electricity prices and loads. It provides coverage of seasonal decomposition, mean reversion, heavy-tailed distributions, exponential smoothing, spike preprocessing, autoregressive time series including models with exogenous variables and heteroskedastic (GARCH) components, regime-switching models, interval forecasts, jump-diffusion models, derivatives pricing and the market price of risk. Modeling and Foreca... [Read More]

    • ASIN: 047005753X
    • ASIN: 047005753X
    • ISBN: 047005753X
    • Manufacturer: Wiley

  • Introduction to Time Series Analysis and Forecasting

    Praise for the First Edition ..".[t]he book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics." -MAA Reviews Thoroughly updated throughout, Introduction to

    • UPC: 42485843

  • Applied Economic Forecasting using Time Series Methods - eBook

    Economic forecasting is a key ingredient of decision making both in the public and in the private sector. Because economic outcomes are the result of a vast, complex, dynamic and stochastic system, forecasting is very

    • UPC: 302953380

  • Applied Economic Forecasting Using Time Series Methods

    Economic forecasting is a key ingredient of decision making both in the public and in the private sector. Because economic outcomes are the result of a vast, complex, dynamic and stochastic system, forecasting is very

    • UPC: 597887417

  • An Analysis of Time Series Forecasting Methods for the Airlift of Palletized Sustainment Cargo

    An Analysis of Time Series Forecasting Methods for the Airlift of Palletized Sustainment

    • UPC: 53531699

  • Time Series Models for Business and Economic Forecasting

    "The econometric analysis of economic and business time series is a major field of research and application. The last few decades have witnessed an increasing interest in both theoretical and empirical developments in constructing time

    • UPC: 35988037

  • SAS for Forecasting Time Series, Third Edition - eBook

    To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for

    • UPC: 568931080

  • SAS for Forecasting Time Series, Third Edition

    To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for

    • UPC: 994891983

  • Advances in Time Series Forecasting: Volume 2 - eBook

    This volume is a valuable source of recent knowledge about advanced time series forecasting techniques such as artificial neural networks, fuzzy time series, or hybrid approaches. New forecasting frameworks are discussed and their application is

    • UPC: 743495724

  • Introduction to Time Series and Forecasting - eBook

    This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only

    • UPC: 581272425

  • Applications of Soft Computing in Time Series Forecasting - eBook

    This book reports on an in-depth study of fuzzy time series (FTS) modeling. It reviews and summarizes previous research work in FTS modeling and also provides a brief introduction to other soft-computing techniques, such as

    • UPC: 104981432

  • Time Series Forecasting Models

    Forecasting - Time series methods - Example 1

    Time Series Prediction