I'm working on a multi-state with live recapture analysis but am having some trouble interpreting the transition values (Psi) from the real estimates. There are 4 states (river pools A, B, C, & D). The best model only looked at differences in transitions between states and did not include a time variable. I am trying to determine the monthly and annual transition probabilities between river pools, but am not sure how to take the real estimates I obtained, and calculate those values. Below are a portion of the estimates for Psi as an example.

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`Real Function Parameters of {S(.) p(s*t) Psi(s)_V2}`

95% Confidence Interval

Parameter Estimate Standard Error Lower Upper

-------------------------- -------------- -------------- -------------- --------------

50:Psi A to B 0.0054571 0.0031360 0.0017649 0.0167438

51:Psi A to B 0.1030576 0.0218812 0.0673790 0.1544992

52:Psi A to B 0.1277947E-007 0.4036407E-005 0.1773397E-276 1.0000000

53:Psi A to B 0.0188353 0.0032476 0.0134208 0.0263760

54:Psi A to B 0.1233908 0.0093985 0.1061192 0.1430238

55:Psi A to B 0.3173135E-008 0.1077794E-005 -0.2109303E-005 0.2115649E-005

56:Psi A to B 0.0028548 0.0016157 0.9403275E-003 0.0086333

57:Psi A to B 0.0796322 0.0080515 0.0652122 0.0969102

58:Psi A to B 0.7159411E-003 0.5080549E-003 0.1780848E-003 0.0028736

59:Psi A to B 0.2301455E-007 0.8670414E-005 0.2269160E-311 1.0000000

60:Psi A to B 0.1513007E-008 0.1701518E-005 -0.3333462E-005 0.3336488E-005

61:Psi A to B 0.0101993 0.0057397 0.0033697 0.0304479

Thanks for any help!