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154 results for "predictive modeling"
Predictive Modeling and Analytics By Jeffrey Strickland
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This book is about predictive modeling. Yet, each chapter could easily be handled by an entire volume of its own. So one might think of this as a survey of predictive models, both statistical and... More > machine learning. We define A predictive model as a statistical model or machine learning model used to predict future behavior based on past behavior. In order to use this book, the reader should have a basic understanding of statistics (statistical inference, models, tests, etc.)—this is an advanced book. Every chapter culminates in an example using R. R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. The book is organized so that statistical models are presented first (hopefully in a logical order), followed by machine learning models, and then applications: uplift modeling and time series. One could use this as a textbook with problem solving in R (there are no “by-hand” exercises).< Less
Predictive Power of Exchange Rate Determination Models By Frank Lee
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Research is conducted to establish the predictive powers of exchange rate determination models frequently used in the finance sector by traders and practitioners worldwide. The models are tested for... More > co-integration of its explanatory variables with the exchange rate. In-sample forecasts are generated and forecasting accuracy evaluated by statistics taking into account magnitude of forecasting errors and the forecast’s directional accuracy. Measures of profitability based on trading on the basis of the generated forecasts are evaluated using standard risk and return statistics, including evaluation of downside risk. Among models estimated are the Restricted Purchasing Power Parity, Unrestricted Purchasing Power Parity, Uncovered Interest Parity and the Monetary Model. Models are estimated using real world data (10-years). This book attempts to answer the age-old question of whether econometric models of exchange rate are value adding for traders in their search for trading profits.< Less
Predictive Analytics using R By Jeffrey Strickland
Hardcover: List Price: $77.66 $46.60 | You Save: 40%
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This book is about predictive analytics. Yet, each chapter could easily be handled by an entire volume of its own. So one might think of this a survey of predictive modeling. A predictive model is a... More > statistical model or machine learning model used to predict future behavior based on past behavior. In order to use this book, one should have a basic understanding of mathematical statistics — it is an advanced book. Some theoretical foundations are laid out but not proven, but references are provided for additional coverage. Every chapter culminates in an example using R. R is a free software environment for statistical computing and graphics. You may download R, from a preferred CRAN mirror at http://www.r-project.org/. The book is organized so that statistical models are presented first (hopefully in a logical order), followed by machine learning models, and then applications: uplift modeling and time series. One could use this a textbook with problem solving in R—but there are no “by-hand” exercises.< Less
SYSTEM SIMULATION MODEL BASED ROAD ACCIDENTS AND ITS COST PREDICTION By Dr. K. NACHIMUTHU
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In India, the primary mode of transport is road transport which plays an important role in the conveyance of goods and passengers and linking the centers of production, consumption and distribution.... More > It is also a key factor for promoting socio-economic development in terms of social, regional and national integration. The motor vehicle population is growing at a faster rate than the economic and population growth.< Less
Predicting Your Success By Steve Kosch
eBook (PDF): $6.88
(1 Ratings)
Finding success in life is natural. Nature displays these principles everyday, we just need to recognize them and apply them to our lives. Former CNN weathercaster and success coach Steve Kosch... More > doesn't just talk about success he models it daily and now shares his insights with his readers.< Less
Predicting Your Success By Steve Kosch
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Finding success in life is natural. Nature displays these principles everyday, we just need to recognize them and apply them to our lives. Former CNN weathercaster and success coach Steve Kosch... More > doesn't just talk about success he models it daily and now shares his insights with his readers.< Less
Simple Predictive Analytics By Curtis Seare
eBook (PDF): $15.21
This book teaches the fundamentals of statistical business analysis by using the familiar program Excel 2007. With the help of this guide, you will be able to use Excel to solve your business... More > problems through the use of predictive analytics. The book includes: An introduction to, and some fundamentals for, good analysis, a process outline to make analysis quick and effective, a description of some of the most used predictive models and methods, and a comprehensive ‘How To’ section including a step by step Excel tutorial and common pitfalls to avoid.< Less
Simple Predictive Analytics By Curtis Seare
Paperback: $32.18
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This book teaches the fundamentals of statistical business analysis by using the familiar program Excel 2007. With the help of this guide, you will be able to use Excel to solve your business... More > problems through the use of predictive analytics. The book includes: An introduction to, and some fundamentals for, good analysis, a process outline to make analysis quick and effective, a description of some of the most used predictive models and methods, and a comprehensive ‘How To’ section including a step by step Excel tutorial and common pitfalls to avoid.< Less
Predictive Soil Mapping with R By Tomislav Hengl & Robert A. MacMillan
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Predictive Soil Mapping (PSM) is based on applying statistical and/or machine learning techniques to fit models for the purpose of producing spatial and/or spatiotemporal predictions of soil... More > variables i.e. maps of soil properties and classes at different resolutions. It is a multidisciplinary field combining statistics, data science, soil science, physical geography, remote sensing, geoinformation science and a number of other sciences. Predictive Soil Mapping with R is about understanding the main concepts behind soil mapping, mastering R packages that can be used to produce high quality soil maps, and about optimizing all processes involved so that also the production costs can be reduced. The online version of the book is available at: https://envirometrix.github.io/PredictiveSoilMapping/ Pull requests and general comments are welcome. These materials are based on technical tutorials initially developed by the ISRIC's Global Soil Information Facilities (GSIF) development team over the period 2014–2017.< Less
Predictive Crime Analysis using R By Jeffrey Strickland
Paperback: List Price: $156.21 $78.11 | You Save: 50%
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Predictive Crime Analysis using R is Dr. Strickland's second crime analysis book. In this volume, rather than using data to describe crime history, he uses it to predict crime using pattern created... More > with advanced clustering methods, crime series linkage, and text analysis. Coverage includes prediction of conventional crime and terrorist attacks. The open-source software R is introduced and used in developing crime data, including Geo-spatial data, and constructing predictive models and performing post analysis. Using actual crime data from cities like Atlanta, Dr. Strickland also shows how to simulate additional data from actual data. Simulated data can then be used in cities with insufficient actual data, but with similar demographics and human behavior.< Less

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