Sentences with phrase «series model you choose»

No matter which 5 Series model you choose, power is abundant.

Not exact matches

Because the preliminary examination suggested evidence of nonstationarity and autocorrelation in these series, models were chosen to account for such conditions accordingly.
It'll be hard to choose between the BMW 3 Series, Mercedes - Benz C - Class, Acura RDX, Porsche Macan, CADILLAC CTS or any of the highline models available through Lithia Motors luxury car dealerships.
At the same time diesel motor fans will also have a chance to choose the most appropriate version from wide range of diesel BMW 3 Series engines which can vary from 2.0 - liter low power models to efficient engines of more than 300 HP.
As with other models in the 3 Series range buyers can choose between four different equipment levels SE, Sport, Luxury and M Sport, each having their own unique styling cues.
It didn't take long for German tuning house Alpina to debut its version of the new BMW 4 - series, and they've chosen the Tokyo Motor Show to unveil the new model.
I chose this car after test driving similar makes / models, including the BMW 3 series and Audi 4.
More options are available under the hood of the 2014 5 - Series depending upon the model you choose.
The Porsche Panamera series brings together family - friendly dimensions and world - class performance in one eye - opening package, and there are plenty of models from which to choose.
You can also choose a 3 Series EfficientDynamics (or ED for short) model, which has specification changes to make it as frugal as possible.
They were higher series model, but I chose the simple luxury of the Lexus.
I bought this car in November 2016 I chose the blue model series 1.
Two main changes were made to the model chosen to take up the challenge, the limited series New Renault Mégane RS275 Trophy, whose mass was reduced and chassis potential enhanced.
And if it doesn't float your boat BMW has plenty of other luxury mid-size niche models to choose from, including the 3 Series Gran Turismo and 4 Series Gran Coupe.
Though the 2010 3 Series tends to be less reliable than most other models on this list, the BMW brand still carries a certain status that might make some buyers choose to overlook that fact.
Compare Buick's most current model of the Cascada to its rivals and we're sure that you'll choose it over vehicles like the 2016 Mercedes - Benz CLA - class, Audi A3, Acura ILX and the BMW 2 - series.
If you like the 3 Series Touring, and you should, you can choose from the following three models at initial launch:
From 1961 to 1971 the long - drawn out elegant Coupe of model series W111 / W112 enthralled no less than 29,918 highly discerning customers, who were able to choose between the Type 220 SEb Coupe six - cylinder models and the Type 280 SE 3.5 Coupe eight - cylinder models.
When you look at top models like the 2018 Audi A3, 2018 BMW 2 - Series, and the 2018 Mercedes - Benz CLA, it is clear to see why you should choose the Audi.
If you are planning on using your BMW 6 Series as it was intended — in other words, for long trips — then you should choose the diesel model.
While RIM chose not to update the radio set up at all on the previous Bold model (despite most other manufacturers making the upgrade in 2010), it has finally introduced n - Wi - Fi to its Bold series, which should boost the 9900's Wi - Fi range in comparison to its predecessor.
With its idyllic beachfront location, sophisticated beach club and glamorous seaside Riviera, it's easy to see why Sandals Ochi Beach Resort, Ocho Rios, Jamaica, was chosen as the setting for the final three episodes of the brand new series of Britain's Next Top Model, which premiered on UK TV screens on the January 14th 2016 on Lifetime.
Players can choose from five different car models and then select your colour, decals and race specific kits to give yourself the best look and the best chance of winning the race series.
In this study, tree ring series were selected for model development that extended into the 1990s (more recent than in past studies) and only sites showing a strong temperature response at the local scale were chosen.
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 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 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 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 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 Exists Fast Fourier Transformations General Introduction Computation of FFT in Time SeriesSeries
Which model is chosen and how it is applied can have a large impact on the resulting satellite tropospheric land temperature series.
I had explained in # 90 that I had used 1969 - 1988 (20 years data) simply because that was what Hargreaves had used, and back at # 83 gave a rationale for choosing a linear trend for a short - term forecast (and no trend for long - term forecast), but noted that since the time series is probably ARIMA, this would be the ultimate naive model (i.e. just using the time series data).
When Samsung refreshed its Tab S line, it chose to go with a single large model rather than a dual strategy like the Tab S2 series.
From a similarity perspective, all of the aforementioned models offer a heart rate sensor, water resistance, or splash resistance where Series 1 is concerned, sensors like accelerometer, ambient light sensor, and gyroscope and a certain amount of internal storage with Series 1 coming with 8 GB and Series 3 offering up to 16 GB for those who choose the GPS + Cellular model.
But the boost in performance provided by the A10 series — which also powers the latest iPad Pro models — suggests Apple could see a bigger role for its next set - top box, possibly expanding beyond 4K content.On the other hand, Troughton - Smith believes Apple may have chosen the A10X Fusion processor to play 4K
the Alcatel 5 does not offer a rear dual - lens camera system, the lower - priced 3 series has two such models to choose from.
While the Alcatel 5 does not offer a rear dual - lens camera system, the lower - priced 3 series has two such models to choose from.
Apple discontinued the Apple Watch Series 2 but kept around the Apple Watch Series 1 (at a reduced price), and the sheer number of models, finishes, and bands make choosing a new Apple Watch a challenging feat.
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