Introduction to time series and forecasting

Show other versions (1)

Saved in:

Bibliographic Details
Main Author:	Brockwell, P
Other Authors:	Davis, R
Format:	Unknown
Language:	English
Published:	Switzerland Springer 2016
Edition:	3rd
Subjects:	2021 - 2022 / M.Sc. Statistics
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Applied statistics and multivariate data analysis for business and economics a modern approach using SPSS strata and Excel
by: Cleff, T
Published: (2019)

Time-series forecasting
by: Chatfield, C
Published: (2001)

New introduction to multiple time series analysis
by: Lutkepohl, H
Published: (2006)

SAS programming for elementary statistics
by: Goad, C.
Published: (2021)

Random fields for spatial data modeling
by: Hristopulos, Dionissios T.
Published: (2020)

Introduction to the principles of medical imaging
by: Guy, C
Published: (2008)

Principles of quantum mechanics
by: Shankar, R
Published: (2014)

Principles of biostatistics
by: Pagano, M
Published: (2018)

Authors of plant names a list of authors of scientific names of plants with recommended standard forms of their names including abbreviations
by: Brummit, R
Published: (2001)

Elementary differential geometry
by: Pressley, A
Published: (2010)

Applied multivariate statistical analysis
by: Hardle, W
Published: (2019)

Real analysis
by: Royden, H
Published: (2021)

Integral transforms in science and engineering
by: Wolf, K
Published: (1979)

Industrial economics
by: Seth, R
Published: (2020)

Human impacts on weather and climate
by: Cotton, W
Published: (2008)

Developmental biology
by: Gilbert, S
Published: (2006)

Evolution what the fossils say and why it matters
by: Prothero, D
Published: (2017)

Introduction to time series and forecasting
by: Brockwell, P

Modelling survival data in medical research
by: Collett, D
Published: (2015)

5 steps to a AP statistics
by: Hinders, D.
Published: (2019)

Introduction to statistical time series
by: Fuller, W
Published: (1996)

Toxicology of marine mammals
by: Vos, J
Published: (2003)

Using time series to analyze long range fractal patterns
by: Koopmans, M
Published: (2021)

Time series analysis
by: Hamilton, J
Published: (2012)

Integral transforms and their applications
by: Davies, B
Published: (2002)

Introduction to time series and forecasting
by: Brockwell, Peter J.
Published: (2016)

Time series analysis and its applications - with R examples
by: Shumway, R
Published: (2017)

Matrix algebra useful for statistics
by: Searle, S
Published: (2017)

Data analytics
by: Cody, I
Published: (2016)

Complete book of data anonymization
by: Raghunathan, B
Published: (2017)

Numerical matrix analysis linear systems and least squares
by: Ipsen, I
Published: (2018)

Introductory statistics for business and economics
by: Uboe, J
Published: (2017)

Applied statistics and multivariate data analysis for business and economics a modern approach using SPSS strata and excel
by: Cleff, T
Published: (2019)

Network and adaptive sampling
by: Chaudhuri, A
Published: (2015)

Effective statistical learning methods for actuaries III
by: Denuit, M
Published: (2019)

ERM and QRM in life insurance
by: Pitacco, E
Published: (2020)

Big data conceptual analysis and applications
by: Zgurovsky, M
Published: (2020)

Risk and insurance
by: Asmussen, S
Published: (2020)

Methodology of educational research
by: Koul, L
Published: (2023)

Introduction to time series analysis and forecasting
by: Brockwell,P J
Published: (2016)