However, the term is also used in time series analysis with a different meaning.

We have referred to the limits of resolution in time series analysis.

A contributor to the theory of time series analysis.

They define a variance term κ in the time series analysis.

These models estimated the relations between different macroeconomic variables using time series analysis.

It is often used in time series analysis.

Nason is best known for his work in the area of time series analysis, especially wavelet approaches.

In a time series analysis, the dependent variable is observed over time for any changes that may take place.

This is an important technique for all types of time series analysis, especially for seasonal adjustment.

Support for various time series analysis methods.

Hooker is chiefly remembered today for the pioneering work on time series analysis in his papers of 1901-5.

Moreover, time sequencing of data is not a problem when compared to classical time series analysis.

In time series analysis, the shift operator is called the lag operator.

A more elaborated curve that uses times series analysis can often reveal surprising historical and current data patterns.

Statistical econometrics features the application of linear regression and time series analysis to economic data.

Currently this center is positioned as second best center of research in econometric time series analysis.

In time series analysis, the first difference operator Δ is a special case of lag polynomial.

Financial time series analysis : Chaos and neurodynamics approach.

In time series analysis, the extension of these is to higher order spectra, for example the bispectrum and trispectrum.

Additionally time series analysis techniques may be divided into parametric and non-parametric methods.

He challenged the validity of Woytinsky's study in the absence of a time series analysis.

Z-transform - the special case where the Laurent series is taken about zero has much use in time series analysis.

Data bases, with statistical techniques such as correlation, factor analysis, and time series analysis can give insight.

The endogeneity problem is particularly relevant in the context of time series analysis of causal processes.

In 1957, Holt-Winters took time series analysis to a new level with exponential smoothing.

A number of different notations are in use for time-series analysis.

He derives figures for literature growth by a time-series analysis.

Such measurements have also proved useful in order forms of time-series analysis.

We cover four general topics in time-series analysis.

In addition, time-series analysis can be applied where the series are seasonally stationary or non-stationary.

Wold and Jan Tinbergen applied time-series analysis to economic data.

The familiar methods of correlation and time-series analysis can also be used to detect fraud and other irregularities.

A way to ensure validity is to utilize inter and intra-rater reliability methods, including time-series analysis.

After the war Bartlett's renewed Cambridge work focused on time-series analysis and stochastic process.

Some Problems of Time-series Analysis in Research on Modernization.

Time-series analysis of time-dependent data.

Hilbert spaces are of fundamental importance in many areas, including the mathematical formulation of quantum mechanics, stochastic processes, and time-series analysis.

These include, e.g., time-series analysis using multiple regression, Box-Jenkins analysis, seasonality analysis.

This topic area is dominated by statistics: the topics are fairly broad, covering probability theory, hypothesis testing, (multi-variate) regression, and time-series analysis.

A synopsis of Whittle's thesis also appeared as an appendix to the second edition of Wold's book on time-series analysis.

The techniques were mainly numerical, and largely based on time-series analysis; though regression analysis, for investigating historical trends, eventually also emerged as a much reported technique.

Information theory dictates that increasing model sophistication to pursue a "perfect fit" reaches a point where further sophistication of time-series analysis actually decreases forecast accuracy.

We do not regard CPS subnational tabulations covering less than a full calendar year to be reliable for publication or time-series analysis.

He is most notable for his pioneering work with George Box on autoregressive moving average models, also called Box-Jenkins models, in time-series analysis.

Econometric models are combined with time-series analysis and market micro-structure models within an integrated risk management and systematic high-frequency execution platform.

Major Armed Conflicts, Militarization, and Life Chances: Pooled Time-Series Analysis.

R provides a wide variety of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others.

Virtually all earlier studies on the minimum wage were based on time-series analysis, which tries to control for other pertinent influences by statistical methods and therefore always does so imperfectly.

The comparative interrupted time-series analysis employed by Bloom in evaluating the Jobs-Plus program in public housing developments used a time-series regression that included multiple baselines.

Mathematical contributions include variational (generalised) filtering and dynamic expectation maximization (DEM), which are Variational Bayesian methods for time-series analysis.