bundles / scipy latest / scipy / stats / _stats_py
module
scipy.stats._stats_py
source: /scipy/stats/_stats_py.py :0
Members
-
_alexandergovern_input_validation -
_attempt_exact_2kssamp -
_br -
_calculate_winsorized_variance -
_cdf_distance -
_chk_asarray -
_compute_d -
_compute_prob_outside_square -
_compute_qth_percentile -
_count_paths_outside_method -
_demean -
_equal_var_ttest_denom -
_f_oneway_is_too_small -
_fisher_exact_monte_carlo_method -
_fisher_exact_permutation_method -
_fisher_exact_rxc -
_get_pvalue -
_histogram -
_isconst -
_kstest_n_samples -
_KstestResult_to_tuple -
_lmoment_iv -
_mad_1d -
_mode_result -
_moment -
_moment_outputs -
_moment_result_object -
_moment_tuple -
_order_ranks -
_pack_CorrelationResult -
_pack_LinregressResult -
_parse_kstest_args -
_pd_nsamples -
_pearsonr_bootstrap_ci -
_pearsonr_fisher_ci -
_power_divergence -
_prk -
_put_val_to_limits -
_rankdata -
_SimpleBeta -
_SimpleChi2 -
_SimpleF -
_SimpleNormal -
_SimpleStudentT -
_t_confidence_interval -
_ttest_ind_from_stats -
_ttest_resampling -
_ttest_trim_var_mean_len -
_tuple_to_KstestResult -
_unequal_var_ttest_denom -
_unpack_CorrelationResult -
_unpack_LinregressResult -
_untabulate -
_validate_distribution -
_var -
_weightedtau_n_samples -
_xp_mean -
_xp_var -
alexandergovern -
AlexanderGovernResult -
brunnermunzel -
BrunnerMunzelResult -
chisquare -
combine_pvalues -
ConfidenceInterval -
cumfreq -
CumfreqResult -
describe -
DescribeResult -
energy_distance -
expectile -
f_oneway -
F_onewayResult -
fisher_exact -
friedmanchisquare -
FriedmanchisquareResult -
gmean -
gstd -
gzscore -
HistogramResult -
hmean -
iqr -
jarque_bera -
kendalltau -
kruskal -
KruskalResult -
ks_1samp -
ks_2samp -
kstest -
KstestResult -
kurtosis -
kurtosistest -
KurtosistestResult -
linregress -
LinregressResult -
lmoment -
median_abs_deviation -
mode -
ModeResult -
normaltest -
NormaltestResult -
obrientransform -
pack_TtestResult -
pearsonr -
PearsonRResult -
PearsonRResultBase -
percentileofscore -
pmean -
pointbiserialr -
power_divergence -
Power_divergenceResult -
quantile_test -
quantile_test_iv -
QuantileTestResult -
rankdata -
ranksums -
RanksumsResult -
relfreq -
RelfreqResult -
scoreatpercentile -
sem -
sigmaclip -
SigmaclipResult -
SignificanceResult -
skew -
skewtest -
SkewtestResult -
spearmanr -
tiecorrect -
tmax -
tmean -
tmin -
trim_mean -
trim1 -
trimboth -
tsem -
tstd -
ttest_1samp -
ttest_ind -
ttest_ind_from_stats -
Ttest_indResult -
ttest_rel -
TtestResult -
TtestResultBase -
tvar -
unpack_TtestResult -
wasserstein_distance -
wasserstein_distance_nd -
weightedtau -
zmap -
zscore
Summary
A collection of basic statistical functions for Python.
Additional content
A collection of basic statistical functions for Python.
References
[CRCProbStat2000]
Zwillinger, D. and Kokoska, S. (2000). CRC Standard Probability and Statistics Tables and Formulae. Chapman & Hall: New York. 2000.
Aliases
-
scipy.stats._stats_py