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By making both causal and process analyses possible, panel data has enjoyed increasing popularity in empirical science. In this compilation, several statistical techniques are presented in the face of a growing need to analyze panel data. Measurement error, missing data, heterogeneous populations and particular requirements for causal interference make the analysis of change more difficult. Readers will find up-to-date approaches covering a wide range of topics. Among these are loglinear and probit models, state space models, and structural equation and multilevel growth curve models of panel data.
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Book Description De Gruyter, 2017. Paperback. Condition: New. PRINT ON DEMAND Book; New; Publication Year 2017; Fast Shipping from the UK. No. book. Seller Inventory # ria9783110149364_lsuk
Book Description De Gruyter, 1996. Hardcover. Condition: New. Seller Inventory # DADAX3110149362
Book Description De Gruyter, 1996. HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9783110149364