Mathematica data analysis : learn and explore the fundamentals of data analysis with the power of Mathematica /: learn and explore the fundamentals of data analysis with the power of Mathematica. (2015)

• Record Type: Book
• Further Information: Note: Sergiy Suchok.
• Authors: Suchok, Sergiy
• Contents: Cover ; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: First Steps in Data Analysis; System installation; Setting up the system; The Mathematica front end and kernel; Main features for writing expressions; Summary; Chapter 2: Broad Capabilities for Data Import; Permissible data format for import; Importing data in Mathematica; Additional cleaning functions and data conversion; Checkpoint 2.1 -- time for some practice!!!; Importing strings; Importing data from Mathematica's notebooks; Controlling data completeness; Summary. Process models of time seriesThe moving average model; The autoregressive process -- AR; The autoregression model -- moving average (ARMA); The seasonal integrated autoregressive moving-average process -- SARIMA; Choosing the best time series process model; Tests on stationarity, invertibility, autocorrelation, and seasonality; Checking for stationarity; Invertibility check; Autocorrelation check; Summary; Chapter 6: Statistical Hypothesis Testing in Two Clicks; Hypotheses about the mean; Hypotheses about the variance; Checking the degree of sample dependence. Hypotheses on true sample distributionSummary; Chapter 7: Predicting the Dataset Behavior; Classical predicting; Image processing; Probability automaton modelling; Summary; Chapter 8: Rock-Paper-Scissors -- Intelligent Processing of Datasets; Interface development in Mathematica; Markov chains; Creating a portable demonstration; Summary; Index.
• Publisher Details: Birmingham : Packt Publishing
• Publication Date: 2015
• Extent: 1 online resource, illustrations
• Subjects: 510.28553; COMPUTERS -- Data Processing; Mathematica (Computer program language); Electronic data processing -- Statistical methods; MATHEMATICS / Essays; MATHEMATICS / Pre-Calculus; MATHEMATICS / Reference; COMPUTERS -- Computer Science; Electronic books
• Languages: English
• ISBNs: 9781785884450; 9781785884931
• Related ISBNs: 178588445X; 9781785884931; 178588493X
• Notes: Note: Online resource; title from PDF title page (EBSCO, viewed May 3, 2016)
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.