Sentences with phrase «in seasonal adjustment»

May differ from the sum of individual industries due to differences in seasonal adjustment.
Interpretation of data on imports is complicated by differences in the seasonal adjustments calculated on a monthly and quarterly basis.

Not exact matches

A recent report by professional services firm Deloitte Access Economics suggests retail spending could be slowly picking up in Western Australia, with recent official data finding sales grew 0.3 per cent in January after seasonal adjustment.
Which brings us to the 2008 - 9 period which is known to have caused echo effects in the X-12 seasonal adjustment process elsewhere.
In contrast, smoothed annualized growth rates, which we have traditionally preferred, presume proper seasonal adjustment.
If you strip out «inconsistent seasonal adjustments,» the decline in February retail sales was 0.48 % (John Williams, Shadowstats.com).
But as I noted last week, much of that effect is actually tied to the very heavy downward seasonal adjustment that accompanies initial claims data in January.
* Seasonal adjustment removes normal seasonal variations, enabling analysis of monthly changes and fundamental trends in tSeasonal adjustment removes normal seasonal variations, enabling analysis of monthly changes and fundamental trends in tseasonal variations, enabling analysis of monthly changes and fundamental trends in the data.
The seasonal adjustment factors for non-farm payroll employment vary between 1.0157 and 0.9920, which doesn't mean much until you put these numbers in context.
Before seasonal adjustment, continuing claims fell by 129,463 to 1.735 million, well below the 1.949 million level seen in the comparable week last year.
WASHINGTON (AP)-- U.S. manufacturing output declined in August for the first time in seven months, reflecting a sharp fall in production at auto plants that was due mainly to seasonal adjustment problems.
(The regional data are available only without seasonal adjustment, and so the four - year total is slightly different from the one presented in the seasonally adjusted estimate):
On a seasonally - adjusted basis, the monetary base has increased by about $ 36 billion since September, but since the seasonal adjustment factor plunges in the first two months of the year as holiday cash demands subside, the seasonally - adjusted monetary base will spike by about $ 60 billion even if the Fed does nothing in the next two months.
@zingfinapp That's part of the nature of the seasonal adjustment factor: when jobs over / undershoot in current month, they adjust prior same Aug 03, 2013
The adjustments will be determined by multiplying $ 2,085, or the most recent inflation adjusted amount, by the sum of all subsequent annual average percentage changes of All Items CPI - U, before seasonal adjustment, for the 12 - month periods ending in December.
Changes in the outdoor temperature at every season will require you to make seasonal adjustments to the temperature and humidity controls for your reptile or amphibian.
The only differences in the GCM are a few bug fixes related to the calculation of seasonal insolation (a problem discovered in Model II in the mid-1990's) and an adjustment to the grid configuration that makes Model II's grid an exact multiple of the more recent generations of GISS GCMs (like Model E).
So seasonal adjustments may have to be made in this regard.
Either limit the data to July / August or do some sort of seasonal adjustment and the important question should be easy to answer: are extremely hot days more or less likely today than in the past?
General Introduction Two Main Goals Identifying Patterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimSeasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Timseasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimSeasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Timseasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimSeasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time Series
Not to just change the subject from your important point, but the paper Zeke references makes clear that there is a strong seasonal fluctuation of about 0.4 degF in the differences between LIG and MMTS sensors that the idea of using one adjustment for all season would be wrong.
Before seasonal adjustment, the National Index posted a gain of 0.1 percent month - over-month in October.
Michelle Dickens CEO of TPN says that, «hopefully this indicates the shock drop to 82.17 % in Quarter 1 (Q1) was merely a seasonal adjustment.
«Sales of existing homes fell in December and January after seasonal adjustment and are now as low as any month in 2017.
This process is expected to take some time before finalized revisions can be published to address any issues that may surface in the review process and to update monthly seasonal adjustment factors; NAR is committed to providing accurate, reliable data.
On a monthly basis and after seasonal adjustment, the national Index, along with the 10 - City and 20 - City Composites, all increased 0.9 % month - over-month in November.
Additionally, 10 of 20 cities reported increases in December before seasonal adjustment; after seasonal adjustment, 19 cities increased for the month.
* Seasonal adjustment removes normal seasonal variations, enabling analysis of monthly changes and fundamental trends in tSeasonal adjustment removes normal seasonal variations, enabling analysis of monthly changes and fundamental trends in tseasonal variations, enabling analysis of monthly changes and fundamental trends in the data.
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