Basic Data Analysis for Time Series with R

Synopsis

This Book Emphasizes The Collaborative Analysis Of Data That Is Used To Collect Increments Of Time Or Space. Written At A Readily Accessible Level, But With The Necessary Theory In Mind, The Author Uses Frequency- And Time-domain And Trigonometric Regression As Themes Throughout The Book. The Content Includes Modern Topics Such As Wavelets, Fourier Series, And Akaike's Information Criterion (aic), Which Is Not Typical Of Current-day Classics. Applications To A Variety Of Scientific Fields Are Showcased. Exercise Sets Are Well Crafted With The Express Intent Of Supporting Pedagogy Through Recognition And Repetition. R Subroutines Are Employed As The Software And Graphics Tool Of Choice. Brevity Is A Key Component To The Retention Of The Subject Matter. The Book Presumes Knowledge Of Linear Algebra, Probability, Data Analysis, And Basic Computer Programming--,this Book Emphasizes The Collaborative Analysis Of Data That Is Used To Collect Increments Of Time Or Space. Written At A Readily Accessible Level, But With The Necessary Theory In Mind, The Author Uses Frequency- And Time-domain And Trigonometric Regression As Themes Throughout The Book--