An overview of new features and enhancement in NumXL 1.66 (PARSON). Primarily, a set of non-parametric data-fitting routines (K-nn, Kernel regression, Localized Regression), 2-D interpolation, and new smoothing functions.

1. NumXL 1.66 PARSON
What’s New?
www.numxl.com 1

2.  New Forecasting performance measure - MDA
 Non-Parametric Regression
 New Smoothing Functions
 Enhanced Interpolation (1D & 2D)
NumXL 1.66 (PARSON)
Overview
www.numxl.com 2

3.  K nearest neighbor (k-nn)
 Kernel Regression
 Localized Regression
Non-Parametric
Regression
www.numxl.com 3

4.  Technical Indicators
 Moving Average: SMA, MMA, CMA and WMA
 Exponential MA: EMA, DEMA, TEMA, and ZLEMA
 Two-sided centered MA: e.g. Binomial, Spencer,
Henderson, and userdefined
 Seasonal (aka. double) moving average
www.numxl.com 4
New Smoothing Functions

5.  One (1) Dimensional Interpolation: support for
monotonic spline types (e.g. Steffen’s)
 Two (2) Dimensional Interpolation:
 Bilinear
 bicubic
www.numxl.com 5
Interpolation

6. www.numxl.com 6
FAQ
 What’s next?
Answer: More non-parametric statistical methods and tests
1. Kernel Smoothing
2. Piece-wise (Segmented) regression
3. More on NumXL features request forum:
support.numxl.com/hc/en-us/community/topics/200263143
 How can I help?
Answer: Let us know what you’d like to see in future NumXL releases, or contact us:
support@numxl.com

7. Spider Financial Corp
1507 E 53rd St., Ste. 480
Chicago, IL 60615
(888)427-9486
+1 (312) 324-0367
www.numxl.com
info@numxl.com
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Thank you!