It takes the average reader 11 hours and 13 minutes to read Asymptotic Theory of Statistical Inference for Time Series by Masanobu Taniguchi
Assuming a reading speed of 250 words per minute. Learn more
The primary aim of this book is to provide modern statistical techniques and theory for stochastic processes. The stochastic processes mentioned here are not restricted to the usual AR, MA, and ARMA processes. A wide variety of stochastic processes, including non-Gaussian linear processes, long-memory processes, nonlinear processes, non-ergodic processes and diffusion processes are described. The authors discuss estimation and testing theory and many other relevant statistical methods and techniques.
Asymptotic Theory of Statistical Inference for Time Series by Masanobu Taniguchi is 671 pages long, and a total of 168,421 words.
This makes it 226% the length of the average book. It also has 206% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 15 hours and 20 minutes to read Asymptotic Theory of Statistical Inference for Time Series aloud.
Asymptotic Theory of Statistical Inference for Time Series is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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