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Forecasting with Exponential Smoothing

Exponential smoothing methods have been around since the 1950s, and are still the most popular forecasting methods used in business and;

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An Introduction to Time Series Analysis and Forecasting

of two popular statistical packages--SAS and SPSS. The text examines moving average, exponential smoothing, Census X-11 deseasonalization, ARIMA;

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Excel Sales Forecasting For Dummies

forecasting is a good idea to making sense of exponential smoothing, Excel Sales Forecasting For Dummies has you covered. If you have a basic grasp;

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Statistical Methods in the Atmospheric Sciences

forecasting and exponential smoothing;

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Introduction To Time Series Analysis And Forecasting

weighted and generalized least squares Exponential smoothing techniques for time series with polynomial components and seasonal data Forecasting;

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Business Statistics Using R

, exponential smoothing, univariate and multivariate analysis including ANOVA and MANOVA and more in this valuable reference for policy makers;

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Practical Time Series Analysis

of statistical techniques to deal with non-stationarity time series * Take advantage of exponential smoothing to tackle noise in time series data;

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Practical Time Series Forecasting with R

Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series;

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Hands-On Time Series Analysis with R

of the book delves into traditional forecasting models such as time series linear regression, exponential smoothing (Holt, Holt-Winter, and more;

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Anticipating Correlations

other measures of dependence. He compares DCC with other correlation estimators such as historical correlation, exponential smoothing, and;

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Time Series Modelling with Unobserved Components

, exponential smoothing, and ARIMA, the UCM is not well known among practitioners outside the academic community. Time Series Modelling with Unobserved;

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Time Series Modelling with Unobserved Components

, exponential smoothing, and ARIMA, the UCM is not well known among practitioners outside the academic community. Time Series Modelling with Unobserved;

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Profit From Your Forecasting Software

, smoothing coefficients, mean absolute percentage error, and r-squared, and an exploration of psychological biases provides insight into the decision;

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The GETMe Mesh Smoothing Framework

Laplacian smoothing, with a high computational efficiency but possible low resulting mesh quality, to global optimization-based methods, resulting;

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The GETMe Mesh Smoothing Framework

Laplacian smoothing, with a high computational efficiency but possible low resulting mesh quality, to global optimization-based methods, resulting;

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Data Mining for Business Intelligence

, exponential smoothing methods; regression-based models; and topics such as explanatory vs. predictive modeling, two-level models, and ensembles * A;

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Smoothing Splines

A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent;

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Smoothing Splines

A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent;

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Kernel Smoothing

averaging or smoothing is performed with respect to a kernel function. This book provides uninitiated readers with a feeling for the principles;

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Practical Smoothing

This is a practical guide to P-splines, a simple, flexible and powerful tool for smoothing. P-splines combine regression on B-splines with;

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Microsoft Excel 2013 Data Analysis and Business Modeling

Use Excel Trend Curves, multiple regression, and exponential smoothing Master advanced Excel functions such as OFFSET and INDIRECT;

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Vibration Reduction for Flexible Structures by Smoothing Commands

This book described vibration reduction for flexible structures by the command smoothing techniques. The Command smoothing technique is a;

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Smoothing Methods in Statistics

, nonparametric regression estimation, categorical data smoothing, and applications of smoothing to other areas of statistics. It will thus be;

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Nonparametric Econometric Methods

copulas, series estimators, and smoothing splines along with a variety of semiparametric methods. The papers in this Volume cover topics;

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Continuous Exponential Martingales and BMO

of exponential martingales. The reader is assumed to be familiar with the general theory of continuous martingales.;

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Using Artificial Neural Networks for Timeseries Smoothing and Forecasting

with acquainting the reader with the history and characteristics of the methods and with the time series issues in general. Both statistical;

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Exponential Distribution

of a light bulb of a particular make, with exponential distribution, then P(X>x) represent the survival of the light bulb. The larger the;

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