Pages that link to "Item:Q2864625"

The following pages link to A geometric time series model with dependent Bernoulli counting series (Q2864625):

Displaying 37 items.

• A geometric time series model with inflated-parameter Bernoulli counting series (Q334058) (← links)
• A geometric bivariate time series with different marginal parameters (Q345371) (← links)
• A bivariate \(INAR(1)\) time series model with geometric marginals (Q427649) (← links)
• A new skew integer valued time series process (Q670104) (← links)
• Poisson-Lindley INAR(1) model with applications (Q1654326) (← links)
• Regularized estimation in GINAR(\(p\)) process (Q1674041) (← links)
• Noise-indicator nonnegative integer-valued autoregressive time series of the first order (Q1994032) (← links)
• Portmanteau tests for generalized integer-valued autoregressive time series models. Portmanteau tests for GINAR models (Q2165839) (← links)
• A time series model based on dependent zero inflated counting series (Q2228226) (← links)
• The combined Poisson INMA\((q)\) models for time series of counts (Q2336934) (← links)
• Mixed Poisson INAR(1) processes (Q2338237) (← links)
• A geometric time series model with a new dependent Bernoulli counting series (Q2832639) (← links)
• A geometric time-series model with an alternative dependent Bernoulli counting series (Q2980134) (← links)
• Zero‐Modified Geometric INAR(1) Process for Modelling Count Time Series with Deflation or Inflation of Zeros (Q3452744) (← links)
• An INAR(1) model based on a mixed dependent and independent counting series (Q4960545) (← links)
• A new class of INAR(1) model for count time series (Q4960613) (← links)
• A new geometric INAR(1) process based on counting series with deflation or inflation of zeros (Q4960767) (← links)
• Thinning-based models in the analysis of integer-valued time series: a review (Q4971438) (← links)
• Fractional approaches for the distribution of innovation sequence of INAR(1) processes (Q5077416) (← links)
• Extended binomial AR(1) processes with generalized binomial thinning operator (Q5077435) (← links)
• An INAR(1) model based on the Pegram and thinning operators with serially dependent innovation (Q5083884) (← links)
• On first-order integer-valued autoregressive process with Katz family innovations (Q5106798) (← links)
• A dependent counting INAR model with serially dependent innovation (Q5861472) (← links)
• Modelling and monitoring of INAR(1) process with geometrically inflated Poisson innovations (Q5865414) (← links)
• First-order random coefficient INAR process with dependent counting series (Q5866162) (← links)
• Poisson–geometric INAR(1) process for modeling count time series with overdispersion (Q6085831) (← links)
• A study of binomial AR(1) process with an alternative generalized binomial thinning operator (Q6101008) (← links)
• A flexible INAR(1) time series model with dependent zero-inflated count series and medical contagious cases (Q6102638) (← links)
• Two-step conditional least squares estimation in ADCINAR(1) process, revisited (Q6152262) (← links)
• Higher autocumulant functions for ADCINAR(1) process and bias-correction of some estimators (Q6176226) (← links)
• Alternative procedures in dependent counting INAR process with application on COVID-19 (Q6181886) (← links)
• A new first-order mixture Integer-valued threshold autoregressive process based on binomial thinning and negative binomial thinning (Q6541943) (← links)
• One-misrecorded Poisson INAR(1) model via two random operators with application to crime and economics data (Q6547354) (← links)
• A statistical study for some classes of first-order mixed generalized binomial autoregressive models (Q6573058) (← links)
• A zero-modified geometric INAR(1) model for analyzing count time series with multiple features (Q6632390) (← links)
• Statistical modelling of COVID-19 and drug data via an INAR(1) process with a recent thinning operator and cosine Poisson innovations (Q6636247) (← links)
• Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models (Q6664668) (← links)