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# Reduction Operations
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Statistical reduction functions along dimensions with comprehensive NaN handling and uncertainty propagation.
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## Capabilities
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### Statistical Reductions
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Functions for computing statistics along specified dimensions with automatic uncertainty propagation.
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```python { .api }
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def sum(x, dim=None):
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    """Sum along dimensions"""
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def mean(x, dim=None):
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    """Mean along dimensions"""
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def std(x, dim=None):
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    """Standard deviation along dimensions"""
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def var(x, dim=None):
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    """Variance along dimensions"""
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def median(x, dim=None):
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    """Median along dimensions"""
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def min(x, dim=None):
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    """Minimum along dimensions"""
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def max(x, dim=None):
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    """Maximum along dimensions"""
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def all(x, dim=None):
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    """Check if all values are true"""
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def any(x, dim=None):
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    """Check if any values are true"""
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```
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### NaN-Handling Reductions
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Statistical functions that ignore NaN values during computation.
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```python { .api }
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def nansum(x, dim=None):
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    """Sum along dimensions ignoring NaN"""
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def nanmean(x, dim=None):
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    """Mean along dimensions ignoring NaN"""
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def nanstd(x, dim=None):
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    """Standard deviation ignoring NaN"""
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def nanvar(x, dim=None):
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    """Variance ignoring NaN"""
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def nanmedian(x, dim=None):
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    """Median ignoring NaN"""
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def nanmin(x, dim=None):
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    """Minimum ignoring NaN"""
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def nanmax(x, dim=None):
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    """Maximum ignoring NaN"""
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```