Call Number (LC) Title Results
QA279.7 .T372 2020 Sequential change detection and hypothesis testing : general non-i.i.d. stochastic models and asymptotically optimal rules / 1
QA279.7 .W47 1975 Sequential methods in statistics / 1
QA279.7 .W66 1982 Nonlinear renewal theory in sequential analysis / 1
QA279.7 .W66 1982eb Nonlinear renewal theory in sequential analysis 1
QA280 Natural time analysis : the new view of time.
Design and analysis of time series experiments /
Time-series prediction and applications : a machine intelligence approach /
Deep learning in time series analysis /
Universal time-series forecasting with mixture predictors
Time series clustering and classification /
Recent advances in time series forecasting /
Time series analysis and adjustment : measuring, modelling and forecasting for business and economics /
Forecasting, structural time series models, and the Kalman filter /
Time Series Prediction Forecasting The Future And Understanding The Past /
Basic data analysis for time series with R /
Efficient algorithms of time series processing and their applications /
Exploration Of A Nonlinear World : an Appreciation Of Howell Tong'S Contributions To Statistics.
Time series analysis in climatology and related sciences /
Discovery of ill-known motifs in time series data
Change detection and image time-series analysis.
Time series analysis : nonstationary and noninvertible distribution theory /
Singular Spectrum Analysis : Using R /
Nonlinear time series analysis with R /
Stochastic modeling : a thorough guide to evaluate, pre-process, model and compare time series with MATLAB software /
Signals and Systems.
Time series forecasting in Python /
Time series : theory and methods /
The spectral analysis of time series
The econometric analysis of non-stationary spatial panel data /
Asymptotic nonparametric statistical analysis of stationary time series /
Ensembles of type 2 fuzzy neural models and their optimization with bio-inspired algorithms for time series prediction /
Applied time series analysis /
Time-varying effect modeling for the behavioral, social, and health sciences
Time series in the time domain
Applied time series analysis : a practical guide to modeling and forecasting /
Time series analysis methods and applications /
Time Series Analysis in Seismology Practical Applications.
Advanced analytics and learning on temporal data 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised selected papers /
FORECASTING AND ANALYTICS WITH THE AUGMENTED DYNAMIC ADAPTIVE MODEL (ADAM)
Bayesian analysis of time series /
Time series analysis forecasting and control /
Studies on time series applications in environmental sciences /
Compression-based methods of statistical analysis and prediction of time series /
Time Series and Linear Systems /
Selected Papers of Hirotugu Akaike /
Hands-on time series analysis with Python : from basics to bleeding edge techniques /
Energy time series forecasting : efficient and accurate forecasting of evolving time series from the energy domain /
Advanced analysis and learning on temporal data : first ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised selected papers /
Time series analysis methods and applications for flight data /
Mathematical foundations of time series analysis : a concise introduction /
Applied time series analysis and forecasting with Python /
Theory and applications of time series analysis : selected contributions from ITISE 2018 /
Modeling and stochastic learning for forecasting in high dimensions /
Time series analysis and forecasting : selected contributions from ITISE 2017 /
Non-Gaussian autoregressive-type time series /
Linear time series with MATLAB and OCTAVE /
Theory and applications of time series analysis : selected contributions from ITISE 2022 /
Indexation and causation of financial markets : nonstationary time series analysis method /
Continuous time modeling in the behavioral and related sciences /
Introduction to time series and forecasting /
Theory and applications of time series analysis and forecasting : selected contributions from ITISE 2021 /
Characterizing interdependencies of multiple time series : theory and applications /
Advances in time series analysis and forecasting : selected contributions from ITISE 2016 /
Robustness in statistical forecasting /
Empirical likelihood and quantile methods for time series : efficiency, robustness, optimality, and prediction /
Time series models /
Time series analysis and forecasting : selected contributions from the ITISE Conference /
Theory and applications of time series analysis selected contributions from ITISE 2019 /
Non-linear time series : extreme events and integer value problems /
Phenomenological structure for the large deviation principle in time-series statistics : a method to control the rare events in non-equilibrium systems /
Elements of nonlinear time series analysis and forecasting /
Time series analysis using SAS Enterprise guide
Advances in time series methods and applications the A. Ian Mcleod festschrift /
Basic data analysis for time series with R
Time series analysis /
Dynamic calculus and equations on time scales /
An introduction to discrete-valued time series /
Multivariate time series analysis : with R and financial applications /
Type-3 fuzzy logic in time series prediction /
Advanced time series data analysis : forecasting using EViews /
A practical approach to timeseries forecasting using Python.
Jissen jikeiretsu kaiseki : tōkei to kikai gakushū ni yoru yosoku /
Change Detection and Image Time-Series Analysis 1 Unervised Methods /
Time series analysis with Pandas /
Practical time series analysis : master time series data processing, visualization, and modeling using Python /
SAS for forecasting time series /
Displaying time series, spatial, and space-time data with R /
Time series analysis : forecasting and control /
Forecasting time series data with Prophet : build, improve, and optimize time series forecasting models using Meta's advanced forecasting tool /
Time series : modeling, computation, and inference /
MODERN TIME SERIES FORECASTING WITH PYTHON explore industry-ready time series forecasting using modern machine learning and deep learning /
Working with time series : denoising and imputation frameworks to improve data density /
An introduction to time series with team Apache : using Kafka, Spark, and Cassandra to solve time series problems /
Multivariate time series analysis and applications /
Shi jian xu lie fen xi shi zhan : ji yu ji qi xue xi he tong ji xue = Practical time series analysis /
Time series databases : new ways to store and access data /
Grey forecasting : mechanism, models and applications / 		104
QA280 .A265 2009 Time series data analysis using EViews 1
QA280 .A33 1998 Selected papers of Hirotugu Akaike / 1
QA280 .A38 2017 Advances in time series forecasting. 1
QA280 .A42 2010 Permutation complexity in dynamical systems ordinal patterns, permutation entropy and all that / 1
QA280 .A43 1967eb Stochastic approximation and nonlinear regression 1
QA280 .A43 2021 Diagnostic methods in time series / 1
QA280 .A433 2012eb Applied time series econometrics : a practical guide for macroeconomic researchers with a focus on Africa / 1
QA280 .A5 The statistical analysis of time series / 1
QA280 .A5 1971eb The statistical analysis of time series / 1
QA280 .A57 1987 State space modeling of time series / 1
QA280 .A57 1990 State space modeling of time series / 1
QA280 .A6 2010 Applied time series analysis and innovative computing 1
QA280 .A63 1997 Applications of computer aided time series modeling / 2
QA280 .A659 1997 Applications of time series analysis in astronomy and meteorology / 1
QA280 .A66 1980 Applied time series analysis II proceedings of the Second Applied Time Series Symposium held in Tulsa, Oklahoma, March 3-5, 1980 /
Applied time series analysis II : proceedings of the Second Applied Time Series Symposium held in Tulsa, Oklahoma, March 3-5, 1980 / 		2