They are profitable
without value adjustments.
Not exact matches
These benefits include but are not limited to the power of the human touch and presence, of being surrounded by supportive people of a family's own choosing, security in birthing in a familiar and comfortable environment of home, feeling less inhibited in expressing unique responses to labor (such as making sounds, moving freely, adopting positions of comfort, being intimate with her partner, nursing a toddler, eating and drinking as needed and desired, expressing or practicing individual cultural,
value and faith based rituals that enhance coping)-- all of which can lead to easier labors and births, not having to make a decision about when to go to the hospital during labor (going too early can slow progress and increase use of the cascade of risky interventions, while going too late can be intensely uncomfortable or even lead to a risky unplanned birth en route), being able to choose how and when to include children (who are making their own
adjustments and are less challenged by a lengthy absence of their parents and excessive interruptions of family routines), enabling uninterrupted family boding and breastfeeding, huge cost savings for insurance companies and those
without insurance, and increasing the likelihood of having a deeply empowering and profoundly positive, life changing pregnancy and birth experience.
There are two types of MYGAs: those with a market
value adjustment (MVA) or
without, known as book
value (BV).
In addition, the FGA offers withdrawal options
without a surrender charge or market
value adjustment to help in certain situations.
Without a special
adjustment, the
values of R - squared were 0.7326 and 0.7172, respectively.
Here are the six worse stock market collapses during that entire period and the time it took for those stocks to return to their former
value (
without inflation
adjustment) and assuming dividends are reinvested annually.
2) CAGW movement type models never reconstruct any lengthy past history accurately
without creative and unique
adjustment of aerosol
values used as a fudge factor; that is why models of widely varying sensitivities supposedly all accurately reconstruct the past (different made - up assumed historical
values used for each) but fail in future prediction, like they didn't predict how global average temperatures have been flat to declining over the past 15 years.
Without the numbers = each and every
VALUE recorded and each and every AMOUNT of
adjustment — is there any science to begin with?
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
Why use them
without showing the need and
VALUE of those
adjustments?
When you purchase replacement cost protection, you will be able to get the full
value of your losses
without adjustment for depreciation.
-- As opposed to a term policy, which expires with no payout or cash
value at the end of the term, a permanent policy covers the policy owner throughout all of his / her life
without an unwanted
adjustment in premiums.