No one trade has much meaning outside the context of a long
term systematic process.
Not exact matches
In its simplest
terms, QA is a
systematic process of monitoring a technology project while it's being completed, to ensure at every step along the way that all the stakeholders — most importantly the final users — will get the product they're expecting.
We actively manage all of our portfolios to mitigate risk and seek superior long -
term returns, employing
systematic, research - based
processes.
2 With Paul Tillich, I prefer the
term «dimension» to «level»: «Under the dominance of the metaphor «level» the inorganic either swallows the organic (control) or the organic
processes are interfered with by a strange «vitalist» force (revolt)...»
Systematic Theology Vol.
One must not forget that, in
systematic botany, androgynous means the male flowers are above (superior to, as botanists say) the female flowers, which is hardly the image intended by the appropriation of the
term by
process theologians.
We're talking about a
process called deconstruction — an academic
term for the
systematic pulling apart of the belief system you were raised in.
In one
systematic passage in which the four stages of datum,
process, satisfaction, and decision are described, this contrast is made in
terms of two types of causation: «According to this account, efficient causation expresses the transition from actual entity to actual entity; and final causation expresses the internal
process whereby the actual entity becomes itself» (PR 150/228).
In addition to specifying the investor's goals, priorities and investment preferences, a well - conceived IPS establishes a
systematic review
process that enables the investor to stay focused on the long -
term objectives, even as the market gyrates wildly in the short
term.
The
process of converting radar signals to sea level is exceptionally complex and long -
term biases entering that
process product long -
term systematic errors.
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
bias ############ distortion, political motive ##### offset from an observation sign ########### indication, astrological sign ####### plus or minus sign values ########### ethics, monetary value ####### numbers, quantity manipulation ######### illicit tampering ######### scientific data
processing scheme ############## devious plot ###########
systematic plan anomaly ############# abnormal occurrence ###### change from long -
term average
theory hunch, speculation scientific understanding uncertainty ignorance range error mistake, wrong, incorrect difference from exact true number bias distortion, political motive offset from an observation sign indication, astrological sign plus or minus sign values ethics, monetary value numbers, quantity manipulation illicit tampering scientific data
processing scheme devious plot
systematic plan anomaly abnormal occurrence change from long -
term average
Clients participate in a
systematic process leading to long -
term recovery and life at its best!