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Author : Paul H.C. Eilers,Brian D. Marx
Publisher : Cambridge University Press
Page : 213 pages
File Size : 53,7 Mb
Release : 2021-03-18
Category : Computers
ISBN : 9781108482950
This user guide presents a popular smoothing tool with practical applications in machine learning, engineering, and statistics.
Author : Aileen Nielsen
Publisher : "O'Reilly Media, Inc."
Page : 504 pages
File Size : 55,6 Mb
Release : 2019-09-20
Category : Computers
ISBN : 9781492041603
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly. You’ll get the guidance you need to confidently: Find and wrangle time series data Undertake exploratory time series data analysis Store temporal data Simulate time series data Generate and select features for a time series Measure error Forecast and classify time series with machine or deep learning Evaluate accuracy and performance
Author : Ivanka Horová,Jan Koláček,Jiří Zelinka
Publisher : World Scientific
Page : 244 pages
File Size : 53,6 Mb
Release : 2012-08-14
Category : Mathematics
ISBN : 9789814405508
Methods of kernel estimates represent one of the most effective nonparametric smoothing techniques. These methods are simple to understand and they possess very good statistical properties. This book provides a concise and comprehensive overview of statistical theory and in addition, emphasis is given to the implementation of presented methods in Matlab. All created programs are included in a special toolbox which is an integral part of the book. This toolbox contains many Matlab scripts useful for kernel smoothing of density, cumulative distribution function, regression function, hazard function, indices of quality and bivariate density. Specifically, methods for choosing a choice of the optimal bandwidth and a special procedure for simultaneous choice of the bandwidth, the kernel and its order are implemented. The toolbox is divided into six parts according to the chapters of the book. All scripts are included in a user interface and it is easy to manipulate with this interface. Each chapter of the book contains a detailed help for the related part of the toolbox too. This book is intended for newcomers to the field of smoothing techniques and would also be appropriate for a wide audience: advanced graduate, PhD students and researchers from both the statistical science and interface disciplines. Contents:IntroductionUnivariate Kernel Density EstimationKernel Estimation of a Distribution FunctionKernel Estimation and Reliability AssessmentKernel Estimation of a Hazard FunctionKernel Estimation of a Regression FunctionMultivariate Kernel Density Estimation Readership: Advanced graduate students, researchers in mathematics or statistics. Keywords:Kernel;Bandwidth;Density Estimate;Kernel Regression;Hazard FunctionKey Features:Toolbox in MatlabBrief overview of existing methodsDeveloping a new unifying bandwidth selection method
Author : Paul Gemperline
Publisher : CRC Press
Page : 552 pages
File Size : 43,6 Mb
Release : 2006-04-16
Category : Mathematics
ISBN : 9781420018301
The limited coverage of data analysis and statistics offered in most undergraduate and graduate analytical chemistry courses is usually focused on practical aspects of univariate methods. Drawing in real-world examples, Practical Guide to Chemometrics, Second Edition offers an accessible introduction to application-oriented multivariate meth
Author : Rob J Hyndman,George Athanasopoulos
Publisher : OTexts
Page : 380 pages
File Size : 40,8 Mb
Release : 2018-05-08
Category : Business & Economics
ISBN : 9780987507112
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
Author : Michael Seul,Lawrence O'Gorman,Michael J. Sammon
Publisher : Cambridge University Press
Page : 314 pages
File Size : 55,7 Mb
Release : 2000-02-13
Category : Computers
ISBN : 0521660653
This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images. Written in classic 'cookbook' style, it reflects the authors' long experience in this field. For each task, they present a description and implementation of the most suitable procedure in easy-to-use form. The algorithms range from the simplest steps to advanced functions not commonly available for Windows users. Each self-contained section treats a single operation, describing typical situations requiring that operation and discussing the algorithm and implementation. Sections start with a header illustrating the nature of the procedure through a 'before' and 'after' pictorial example and a ready-reference listing typical applications, keywords, and related procedures. At the end of each section are annotated references and a display of program usage for the C programs on the accompanying CD-ROM. Every researcher or practitioner working with images will need this reference and software library.
Author : Wolfgang Hackbusch,Rolf Rannacher
Publisher : Vieweg+teubner Verlag
Page : 184 pages
File Size : 49,6 Mb
Release : 1990
Category : Science
ISBN : STANFORD:36105030085307
The most frequently used method for the numerical integration of parabolic differential equa tions is the method of lines, where one first uses a discretization of space derivatives by finite differences or finite elements and then uses some time-stepping method for the the solution of resulting system of ordinary differential equations. Such methods are, at least conceptually, easy to perform. However, they can be expensive if steep gradients occur in the solution, stability must be controlled, and the global error control can be troublesome. This paper considers a simultaneaus discretization of space and time variables for a one-dimensional parabolic equation on a relatively long time interval, called 'time-slab'. The discretization is repeated or adjusted for following 'time-slabs' using continuous finite element approximations. In such a method we utilize the efficiency of finite elements by choosing a finite element mesh in the time-space domain where the finite element mesh has been adjusted to steep gradients of the solution both with respect to the space and the time variables. In this way we solve all the difficulties with the classical approach since stability, discretization error estimates and global error control are automatically satisfied. Such a method has been discussed previously in [3] and [4]. The related boundary value techniques or global time integration for systems of ordinary differential equations have been discussed in several papers, see [12] and the references quoted therein.
Author : José E. Chacón,Tarn Duong
Publisher : CRC Press
Page : 226 pages
File Size : 51,6 Mb
Release : 2018-05-08
Category : Mathematics
ISBN : 9780429939143
Kernel smoothing has greatly evolved since its inception to become an essential methodology in the data science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in composite solutions to complex data challenges. Multivariate Kernel Smoothing and Its Applications offers a comprehensive overview of both aspects. It begins with a thorough exposition of the approaches to achieve the two basic goals of estimating probability density functions and their derivatives. The focus then turns to the applications of these approaches to more complex data analysis goals, many with a geometric/topological flavour, such as level set estimation, clustering (unsupervised learning), principal curves, and feature significance. Other topics, while not direct applications of density (derivative) estimation but sharing many commonalities with the previous settings, include classification (supervised learning), nearest neighbour estimation, and deconvolution for data observed with error. For a data scientist, each chapter contains illustrative Open data examples that are analysed by the most appropriate kernel smoothing method. The emphasis is always placed on an intuitive understanding of the data provided by the accompanying statistical visualisations. For a reader wishing to investigate further the details of their underlying statistical reasoning, a graduated exposition to a unified theoretical framework is provided. The algorithms for efficient software implementation are also discussed. José E. Chacón is an associate professor at the Department of Mathematics of the Universidad de Extremadura in Spain. Tarn Duong is a Senior Data Scientist for a start-up which provides short distance carpooling services in France. Both authors have made important contributions to kernel smoothing research over the last couple of decades.
Author : Mohinder S. Grewal,Angus P. Andrews
Publisher : John Wiley & Sons
Page : 638 pages
File Size : 46,7 Mb
Release : 2014-12-31
Category : Technology & Engineering
ISBN : 9781118851210
The definitive textbook and professional reference on Kalman Filtering – fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common pitfalls, and limitations of estimation theory as it applies to real-world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control. Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this important topic.
Author : Peter Wang
Publisher : Elsevier
Page : 676 pages
File Size : 44,5 Mb
Release : 2012-12-02
Category : Mathematics
ISBN : 9780323141673
Information Linkage Between Applied Mathematics and Industry is a collection of papers dealing with mathematics in engineering context and applications. One paper describes Chernoff faces as a technique of representing multidimensional data and compares the technique with Andrews' sine curves and Anderson's metroglyphys. Another paper investigates practical problems that can arise during implementation of the methods of parameter optimization, using as an example the trajectory of the space shuttle from liftoff to insertion into orbit. One paper analyzes Soviet foreign policy using a graphical representation of k-dimensional data as a statistical tool, written specifically for analysts in foreign policy and international relations. During the period 1964-1975, Soviet foreign policy is active in 25 Sub-Saharan African countries. Another paper discusses ballistics modeling in real time and recommends that investigators be familiar with the computer language to be used, the type of system to be applied, the type of weapon to be modeled, the accuracy required, and other existing ballistic programs. Other papers discuss probabilistic dynamic programming for fault isolation and applied mathematics, as well as engineering in the transport of Antarctic ice resources. The collection can prove valuable to mathematicians, engineers, or designers of industrial processes, computers, aviation, and space technology.
Author : Darmawan Napitupulu,Janner Simarmata,Dahlan Abdullah
Publisher : European Alliance for Innovation
Page : 221 pages
File Size : 52,5 Mb
Release : 2019-08-13
Category : Education
ISBN : 9781631902437
The Proceeding book presented the International Conference on Financial Forensics and Fraud, which is an international conference hosted by Universitas Hindu Indonesia in collaboration with Australasian Accounting, Business and Finance Journal. Total 30 full papers presented were carefully reviewed and selected from 50 submissions with the topics not limited to Fraud and Financial Forensics from various disciplines The 2019 Conference was held in Bali, Indonesia from 13 to 14 August 2019 which had been attended by academics and researchers from various universities worldwide including practitioners with the theme Financial Forensics and Fraud Detection in Revolution Industry 4.0.
Author : Sharon L. Lohr
Publisher : CRC Press
Page : 247 pages
File Size : 50,6 Mb
Release : 2021-11-30
Category : Mathematics
ISBN : 9781000479713
The SAS® Software Companion for Sampling: Design and Analysis, designed to be read alongside Sampling: Design and Analysis, Third Edition by Sharon L. Lohr (SDA; 2022, CRC Press), shows how to use the survey selection and analysis procedures of SAS® software to perform calculations for the examples in SDA. No prior experience with SAS software is needed. Chapter 1 tells you how to access the software, introduces basic features, and helps you get started with analyzing data. Each subsequent chapter provides step-by-step guidance for working through the data examples in the corresponding chapter of SDA, with code, output, and interpretation. Tips and warnings help you develop good programming practices and avoid common survey data analysis errors. Features of the SAS software procedures are introduced as they are needed so you can see how each type of sample is selected and analyzed. Each chapter builds on the knowledge developed earlier for simpler designs; after finishing the book, you will know how to use SAS software to select and analyze almost any type of probability sample. All code is available on the book website and is easily adapted for your own survey data analyses. The website also contains all data sets from the examples and exercises in SDA to help you develop your skills through analyzing survey data from social and public opinion research, public health, crime, education, business, agriculture, and ecology
Author : Tony Wild
Publisher : Routledge
Page : 278 pages
File Size : 42,9 Mb
Release : 2007-06-01
Category : Business & Economics
ISBN : 9781136426353
Good management of inventory enables companies to improve their customer service, cash flow and profitability. 'Best Practice in Inventory Management' outlines the basic techniques, how and where to apply them, and provides advice to ensure they work to produce the desired effect in practice. The book shows how inventory management techniques can be used in a wide variety of situations, particularly in stores where the inventory can be anything from fast moving products to slow moving spares. The discussion extends across distribution warehousing and manufacturers' operations. The text is based on best theory and practice, which has been gradually developed by the inventory management profession over the years. It covers the inventory control aspects included in the courses for the DPIM, COM, DLM, CPIM and other professional and academic qualifications. Readers develop their understanding of stock control by seeing the techniques explained logically and learn how inventory structuring, individual item control, forecasting and co-ordination provide the base for logistics management. This new edition has been up-dated throughout and the final chapter, The Future - Inventory and Logistics, has been re-written to reflect the developing applications of technology and changes in focus.
Author : Ivana Horová,Jan Koláček,Jiří Zelinka
Publisher : World Scientific
Page : 242 pages
File Size : 43,8 Mb
Release : 2012
Category : Mathematics
ISBN : 9789814405485
Summary: Offers a comprehensive overview of statistical theory and emphases the implementation of presented methods in Matlab. This title contains various Matlab scripts useful for kernel smoothing of density, cumulative distribution function, regression function, hazard function, indices of quality and bivariate density.
Author : John A. Damm,Charles Hoffmeier Waugaman
Publisher : Unknown
Page : 654 pages
File Size : 53,6 Mb
Release : 1948
Category : Technology
ISBN : UCAL:$B618099